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# CVPR2021-Papers-with-Code-Demo
:star_and_crescent:**论文下载：https://pan.baidu.com/share/init?surl=gjfUQlPf73MCk4vM8VbzoA**
**密码：aicv**
:star2: [CVPR 2021](http://cvpr2021.thecvf.com/) 持续更新最新论文/paper和相应的开源代码/code！
:car: CVPR 2021 收录列表：http://cvpr2021.thecvf.com/sites/default/files/2021-03/accepted_paper_ids.txt
http://cvpr2021.thecvf.com/node/142
:car: 官网链接：http://cvpr2021.thecvf.com/
> :timer_clock: 时间：2021年6月19日-6月25日
> :watch: 论文/paper接收公布时间：2021年2月28日
> :hand: 注：欢迎各位大佬提交issue，分享CVPR 2021论文/paper和开源项目！共同完善这个项目
>
> :airplane: 为了方便下载，已将论文/paper存储在文件夹中 :heavy_check_mark: 表示论文/paper[已下载 / Paper Download](https://github.com/DWCTOD/CVPR2021-Papers-with-Code-Demo/tree/main/CVPR2021-paper-download)
### **:fireworks: 欢迎进群** | Welcome
CVPR 2021 论文/paper交流群已成立！已经收录的同学，可以添加微信：**nvshenj125**，请备注：**CVPR+姓名+学校/公司名称**！一定要根据格式申请，可以拉你进群。
<a name="Contents"></a>
### :hammer: **目录 |Table of Contents（点击直接跳转）**
- [Backbone](#Backbone)
- [NAS](#NAS)
- [图神经网络 / Graph Neural Networks](#GNN)
- [胶囊网络 / Capsule Network](#CapsuleNetwork)
- [图像分类 / Image Classification](#ImageClassification)
- [目标检测/Object Detection](#ObjectDetection)
- [目标跟踪/Object Tracking](#ObjectTracking)
- [语义分割/Segmentation](#Segmentation)
- [弱监督语义分割/Weakly Supervised Semantic Segmentation](#WSSS)
- [医学图像分割](#MedicalImageSegmentation)
- [视频目标分割/Video Object Segmentation](#VideoObjectSegmentation)
- [交互式视频目标分割/Interactive Video Object Segmentation](#InteractiveVideoObjectSegmentation)
- [Visual Transformer](#VisualTransformer)
- [人脸识别/Face Recognition](#FaceRecognition)
- [人脸检测/Face Detection](#FaceDetection)
- [人脸活体检测/Face Anti-Spoofing](#FaceAnti-Spoofing)
- [人脸年龄估计/Age Estimation](#AgeEstimation)
- [人脸表情识别/Facial Expression Recognition](#FacialExpressionRecognition)
- [人脸属性识别/Facial Attribute Recognition](#FacialAttributeRecognition)
- [人体姿态估计/Human Pose Estimation](#HumanPoseEstimation)
- [6D位姿估计 /6D Pose Estimation](#6DPoseEstimation)
- [手势姿态估计（重建）/Hand Pose Estimation( Hand Mesh Recovery)](#HandPoseEstimation)
- [行人重识别/Person Re-identification](#PersonRe-identification)
- [行人搜索/Person Search](#PersonSearch)
- [人群计数 / Crowd Counting](#CrowdCounting)
- [GAN](#GAN)
- [彩妆迁移 / Color-Pattern Makeup Transfer](#CPM)
- [字体生成 / Font Generation](#FontGeneration)
- [场景文本检测、识别/Scene Text Detection/Recognition](#OCR)
- [图像、视频检索 / Image Retrieval/Video retrieval](#Retrieval)
- [Image Animation](#ImageAnimation)
- [抠图/Image Matting](#ImageMatting)
- [超分辨率/Super Resolution](#SuperResolution)
- [图像复原/Image Restoration](#ImageRestoration)
- [图像补全/Image Inpainting](#ImageInpainting)
- [图像编辑/Image Editing](#ImageEditing)
- [图像匹配/Image Matching](#ImageMatching)
- [图像融合/Image Blending](#ImageBlending)
- [图像去雾/Image Dehazing](#ImageDehazing)
- [反光去除/Reflection Removal](#ReflectionRemoval)
- [车道线检测/Lane Detection](#LaneDetection)
- [流体重建/Fluid Reconstruction](#FluidReconstruction)
- [视频插帧/Frame Interpolation](#FrameInterpolation)
- [ 3D点云/3D point cloud]( #3DPointCloud)
- [标签噪声 / Label-Noise](#Label-Noise)
- [对抗样本 Adversarial Examples](#AdversarialExamples)
【目录 可直接跳转】
### :key: **关键词** | Keywords
【TODO】
<a name="Backbone"></a>
## Backbone
:heavy_check_mark: **Coordinate Attention for Efficient Mobile Network Design**
解读：[ CA：新注意力机制](https://zhuanlan.zhihu.com/p/353764183)
论文/paper：https://arxiv.org/abs/2103.02907
代码/code： https://github.com/Andrew-Qibin/CoordAttention
:heavy_check_mark:**Diverse Branch Block: Building a Convolution as an Inception-like Unit**
解读：[ACNet续作——CVPR2021:Diverse Branch Block](https://zhuanlan.zhihu.com/p/360939086)
论文/paper： https://arxiv.org/abs/2103.13425
代码/code： https://github.com/DingXiaoH/DiverseBranchBlock
:heavy_check_mark:**Involution: Inverting the Inherence of Convolution for Visual Recognition**
解读：[我卷我自己——CVPR2021:Involution](https://zhuanlan.zhihu.com/p/357408252)
论文/paper： https://arxiv.org/abs/2103.06255
代码/code： https://github.com/d-li14/involution
:heavy_check_mark: **Inception Convolution with Efficient Dilation Search**
解读：[IC-Conv使用高效空洞搜索Inception卷积](https://zhuanlan.zhihu.com/p/340506749)
论文/paper：https://arxiv.org/pdf/2012.13587.pdf
代码/code：https://github.com/yifan123/IC-Conv
:heavy_check_mark: **RepVGG: Making VGG-style ConvNets Great Again**
解读： [RepVGG：极简架构，SOTA性能，让VGG式模型再次伟大](https://zhuanlan.zhihu.com/p/308159909)| [RepVGG-重参数化Backbone](https://blog.csdn.net/weixin_42096202/article/details/112546234)
论文/paper： https://arxiv.org/abs/2101.03697
代码/code： https://github.com/DingXiaoH/RepVGG
:heavy_check_mark:**ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network**
解读：[ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network 论文/paper学习](https://blog.csdn.net/calvinpaean/article/details/107120053)
论文/paper： https://arxiv.org/abs/2007.00992
代码/code： https://github.com/clovaai/rexnet
:heavy_check_mark:**Scaling Local Self-Attention For Parameter Efficient Visual Backbones**
论文/paper：https://arxiv.org/abs/2103.12731
代码/code：https://github.com/lucidrains/halonet-pytorch | [作者主页](https://shlens.github.io/)
[返回目录/back](#Contents)
<a name="NAS"></a>
## NAS
:heavy_check_mark:**AttentiveNAS: Improving Neural Architecture Search via Attentive**
论文/paper： https://arxiv.org/abs/2011.09011
代码/code：None
:heavy_check_mark:**Combined Depth Space based Architecture Search For Person Re-identification**
论文/paper： https://arxiv.org/abs/2104.04163
代码/code：None
:heavy_check_mark:**Contrastive Neural Architecture Search with Neural Architecture Comparators**
论文/paper： https://arxiv.org/abs/2103.05471
代码/code：https://github.com/chenyaofo/CTNAS
:heavy_check_mark:**DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation** (CVPR 2021)
论文/paper：https://arxiv.org/abs/2103.15954
代码/code：None
:heavy_check_mark:**HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens**
论文/paper：https://arxiv.org/abs/2005.14446
代码/code：None
**HR-NAS: Searching Efficient High-Resolution Neural Architectures with Transformers** (CVPR2021)
论文/paper：None
代码/code：https://github.com/dingmyu/HR-NAS
:heavy_check_mark:**Inception Convolution with Efficient Dilation Search**
论文/paper：https://arxiv.org/abs/2012.13587
代码/code：None
**Joint-DetNAS: Upgrade Your Detector with NAS, Pruning and Dynamic Distillation**
论文/paper：None
代码/code： None
:heavy_check_mark:**Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search**
论文/paper：https://arxiv.org/abs/2104.05309
代码/code： https://github.com/kcyu2014/nas-landmarkreg
:heavy_check_mark:**NetAdaptV2: Efficient Neural Architecture Search with Fast Super-Network Training and Architecture Optimization**
论文/paper：https://arxiv.org/abs/2104.00031 | [主页/Homepage](http://web.mit.edu/netadapt/)
代码/code： None
:heavy_check_mark:**Neural Architecture Search with Random Labels**
论文/paper：https://arxiv.org/abs/2101.11834
代码/code：https://github.com/megvii-model/RLNAS
:heavy_check_mark:**OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection**
论文/paper：https://arxiv.org/abs/2103.04507
代码/code：https://github.com/VDIGPKU/OPANAS
:heavy_check_mark:**Prioritized Architecture Sampling with Monto-Carlo Tree Search**
论文/paper：https://arxiv.org/abs/2103.11922
代码/code：https://github.com/xiusu/NAS-Bench-Macro
:heavy_check_mark:**ReNAS: Relativistic Evaluation of Neural Architecture Search**
论文/paper：https://arxiv.org/abs/1910.01523
代码/code：None
:heavy_check_mark:**Searching by Generating: Flexible and Efficient One-Shot NAS with Architecture Generator**
论文/paper：https://arxiv.org/abs/2103.07289
代码/code：https://github.com/eric8607242/SGNAS
:heavy_check_mark:**Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search**
论文/paper：https://arxiv.org/abs/2101.11342
代码/code：None
[返回目录/back](#Contents)
<a name="GNN"></a>
## 图神经网络 / Graph Neural Networks
:heavy_check_mark:**A Peek Into the Reasoning of Neural Networks: Interpreting with Structural Visual Concepts**
论文/paper：https://arxiv.org/abs/2105.00290
代码/code：None
:heavy_check_mark:**Binary Graph Neural Networks**
论文/paper：https://arxiv.org/abs/2105.00290
代码/code：https://github.com/mbahri/binary_gnn
:heavy_check_mark:**Quantifying Explainers of Graph Neural Networks in Computational Pathology**
论文/paper：https://arxiv.org/pdf/2011.12646.pdf
代码/code：https://github.com/histocartography/patho-quant-explainer
:heavy_check_mark:**Sequential Graph Convolutional Network for Active Learning**
论文/paper：https://arxiv.org/pdf/2006.10219.pdf
代码/code：None
[返回目录/back](#Contents)
<a name="CapsuleNetwork"></a>
# 胶囊网络 / Capsule Network
:heavy_check_mark:**Capsule Network is Not More Robust than Convolutional Network**
论文/paper： https://arxiv.org/abs/2103.15459
代码/code：None
[返回目录/back](#Contents)
<a name="ImageClassification"></a>
# 图像分类 / Image Classification
:heavy_check_mark:**Correlated Input-Dependent Label Noise in Large-Scale Image Classification** (CVPR 2021 Oral)
论文/paper： https://arxiv.org/abs/2105.10305
代码/code：https://github.com/google/uncertainty-baselines/tree/master/baselines/imagenet
[返回目录/back](#Contents)
<a name="ObjectDetection"></a>
## 目标检测/Object Detection
**Adaptive Class Suppression Loss for Long-Tail Object Detection**
论文/paper：https://arxiv.org/abs/2104.00885
代码/code：https://github.com/CASIA-IVA-Lab/ACSL
:heavy_check_mark:**Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds**
论文/paper： https://arxiv.org/abs/2104.06114
代码/code：https://github.com/cheng052/BRNet
:heavy_check_mark: **Categorical Depth Distribution Network for Monocular 3D Object Detection**
论文/paper： https://arxiv.org/abs/2103.01100
代码/code：https://github.com/TRAILab/CaDDN
:heavy_check_mark:**Center-based 3D Object Detection and Tracking**
论文/paper：https://arxiv.org/abs/2006.11275
代码/code：https://github.com/tianweiy/CenterPoint
**Data-Uncertainty Guided Multi-Phase Learning for Semi-Supervised Object Detection**
论文/paper：https://arxiv.org/abs/2103.16368
代码/code：None
**DAP: Detection-Aware Pre-training with Weak Supervision**
论文/paper：https://arxiv.org/abs/2103.16651
代码/code：None
:heavy_check_mark:**Depth from Camera Motion and Object Detection**
论文/paper：https://arxiv.org/abs/2103.01468
代码/code：https://github.com/griffbr/ODMD
:heavy_check_mark:**Dense Label Encoding for Boundary Discontinuity Free Rotation Detection**
论文/paper：https://arxiv.org/abs/2011.09670
代码/code：https://github.com/yangxue0827/RotationDetection
**Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection**
论文/paper：https://arxiv.org/abs/2103.17115
代码/code：https://github.com/hzhupku/DCNet
:heavy_check_mark:**Distilling Object Detectors via Decoupled Features**
论文/paper：https://arxiv.org/abs/2103.14475
代码/code：https://github.com/ggjy/DeFeat.pytorch
:heavy_check_mark: **Dogfight: Detecting Drones from Drone Videos**
论文/paper：https://arxiv.org/pdf/2103.17242
代码/code：None
:heavy_check_mark:**Domain-Specific Suppression for Adaptive Object Detection**
论文/paper：https://arxiv.org/abs/2105.03570
代码/code：None
:heavy_check_mark:**End-to-End Object Detection with Fully Convolutional Network**
论文/paper： https://arxiv.org/abs/2012.03544
代码/code： https://github.com/Megvii-BaseDetection/DeFCN
:heavy_check_mark:**FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding**
论文/paper：https://arxiv.org/abs/2103.05950
代码/code：https://github.com/MegviiDetection/FSCE
:heavy_check_mark:**General Instance Distillation for Object Detection**
论文/paper：https://arxiv.org/abs/2103.02340
代码/code：None
:heavy_check_mark:**Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection**
解读：[大白话 Generalized Focal Loss V2](https://zhuanlan.zhihu.com/p/313684358)
论文/paper：https://arxiv.org/abs/2011.12885
代码/code：https://github.com/implus/GFocalV2
:heavy_check_mark:**GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection**
视频demo：https://www.youtube.com/watch?v=PWctKkyWrno
论文/paper：https://arxiv.org/abs/2103.17202
代码/code：https://github.com/abhi1kumar/groomed_nms
:heavy_check_mark:**Group Collaborative Learning for Co-Salient Object Detection**
论文/paper：https://arxiv.org/abs/2104.01108
代码/code：https://github.com/fanq15/GCoNet
:heavy_check_mark:**I^3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object DetectorsNone**
论文/paper：https://arxiv.org/abs/2103.13757
代码/code：None
**Improved Handling of Motion Blur in Online Object Detection**
论文/paper：https://arxiv.org/abs/2011.14448
代码/code：None
**IQDet: Instance-wise Quality Distribution Sampling for Object Detection**
论文/paper：https://arxiv.org/abs/2104.06936
代码/code：None
:heavy_check_mark:**Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework**
论文/paper：https://arxiv.org/abs/2103.11402
代码/code：None
:heavy_check_mark:**Instance Localization for Self-supervised Detection Pretraining**
论文/paper： https://arxiv.org/abs/2102.08318
代码/code：https://github.com/limbo0000/InstanceLoc
:heavy_check_mark:**MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection**
论文/paper： https://arxiv.org/abs/2103.04224
代码/code：None
:heavy_check_mark:**Multiple Instance Active Learning for Object Detection**
论文/paper：https://github.com/yuantn/MIAL/raw/master/paper.pdf
代码/code：https://github.com/yuantn/MI-AOD
**Line Segment Detection Using Transformers without Edges**（CVPR 2021 Oral）
论文/paper： https://arxiv.org/abs/2101.01909
代码/code：None
**Open-Vocabulary Object Detection Using Captions** （CVPR 2021 Oral）
论文/paper： https://arxiv.org/abs/2011.10678
代码/code：None
:heavy_check_mark:**OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection**
论文/paper： https://arxiv.org/abs/2103.04507
代码/code：https://github.com/VDIGPKU/OPANAS
:heavy_check_mark:**OTA: Optimal Transport Assignment for Object Detection**
论文/paper：https://arxiv.org/abs/2103.14259
代码/code：https://github.com/Megvii-BaseDetection/OTA
**Positive-Unlabeled Data Purification in the Wild for Object Detection**
论文/paper：https://openaccess.thecvf.com/content/CVPR2021/papers/Guo_Positive-Unlabeled_Data_Purification_in_the_Wild_for_Object_Detection_CVPR_2021_paper.pdf
代码/code：None
**PSRR-MaxpoolNMS: Pyramid Shifted MaxpoolNMS with Relationship Recovery**
论文/paper：https://arxiv.org/abs/2105.12990
代码/code：None
:heavy_check_mark:**Robust and Accurate Object Detection via Adversarial Learning**
论文/paper：https://arxiv.org/abs/2103.13886
代码/code：None
:heavy_check_mark:**ReDet: A Rotation-equivariant Detector for Aerial Object Detection**
论文/paper：https://arxiv.org/abs/2103.07733
代码/code：https://github.com/csuhan/ReDet
:heavy_check_mark:**Scale-aware Automatic Augmentation for Object Detection**
论文/paper：https://arxiv.org/abs/2103.17220
代码/code： https://github.com/Jia-Research-Lab/SA-AutoAug
:heavy_check_mark:**Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection**
解读：[解读1](https://blog.csdn.net/qidailiming1994/article/details/104881661?utm_medium=distribute.pc_relevant_t0.none-task-blog-2%7Edefault%7EBlogCommendFromBaidu%7Edefault-1.baidujs&dist_request_id=&depth_1-utm_source=distribute.pc_relevant_t0.none-task-blog-2%7Edefault%7EBlogCommendFromBaidu%7Edefault-1.baidujs) | [解读2](https://blog.csdn.net/smile909/article/details/115257127 )
论文/paper：https://arxiv.org/abs/2103.01903
代码/code：None
:heavy_check_mark:**Sparse R-CNN: End-to-End Object Detection with Learnable Proposals**
论文/paper：https://arxiv.org/abs/2011.12450
代码/code：https://github.com/PeizeSun/SparseR-CNN
:heavy_check_mark:**There is More than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking with Sound by Distilling Multimodal Knowledge**
论文/paper：https://arxiv.org/abs/2103.01353
代码/code：http://rl.uni-freiburg.de/research/multimodal-distill
:heavy_check_mark:**Towards Open World Object Detection** （CVPR 2021 Oarl）
论文/paper：https://arxiv.org/abs/2103.02603
代码/code：https://github.com/JosephKJ/OWOD
:heavy_check_mark:**Uncertainty-aware Joint Salient Object and Camouflaged Object Detection**
论文/paper：https://arxiv.org/abs/2104.02628
代码/code：https://github.com/JingZhang617/Joint_COD_SOD
:heavy_check_mark:**UP-DETR: Unsupervised Pre-training for Object Detection with Transformers** (CVPR2021 Oral)
解读：https://zhuanlan.zhihu.com/p/356349626 | [华南理工和微信AI提出的无监督预训练检测器UP-DETR](https://www.zhihu.com/question/432321109/answer/1606004872)
论文/paper： https://arxiv.org/abs/2011.09094
代码/code：https://github.com/dddzg/up-detr
:heavy_check_mark:**YOLOF：You Only Look One-level Feature**
论文/paper：https://arxiv.org/abs/2103.09460
代码/code：https://github.com/megvii-model/YOLOF
[返回目录/back](#Contents)
<a name="ObjectTracking"></a>
## 目标跟踪/Object Tracking
:heavy_check_mark:**IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking**
论文/paper：https://arxiv.org/abs/2103.14938
代码/code：https://github.com/VISION-SJTU/IoUattack
:heavy_check_mark:**Graph Attention Tracking**
论文/paper：https://arxiv.org/abs/2011.11204
代码/code：https://github.com/ohhhyeahhh/SiamGAT
:heavy_check_mark:**Learning a Proposal Classifier for Multiple Object Tracking**
论文/paper：https://arxiv.org/abs/2103.07889
代码/code：https://github.com/daip13/LPC_MOT
:heavy_check_mark:**Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking**
论文/paper：https://arxiv.org/abs/2012.02337
代码/code：https://github.com/fatemeh-slh/ArTIST
:heavy_check_mark:**Rotation Equivariant Siamese Networks for Tracking**
论文/paper： https://arxiv.org/abs/2012.13078
代码/code：https://github.com/dkgupta90/re-siamnet
:heavy_check_mark: **Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark**
视频demo：[bilibili](https://www.bilibili.com/video/BV1bh411D72N/)| [youtube](https://www.youtube.com/watch?v=7lvVDlkkff0&ab_channel=XiaoWang)
论文/paper：https://arxiv.org/pdf/2103.16746.pdf | [Homepage](https://sites.google.com/view/langtrackbenchmark/)
代码/code： https://github.com/wangxiao5791509/TNL2K_evaluation_toolkit
:heavy_check_mark:**Track to Detect and Segment: An Online Multi-Object Tracker**
视频demo： [youtube](https://youtu.be/oGNtSFHRZJA) | [bilibili](https://www.bilibili.com/video/BV1f5411c774)
论文/paper：https://arxiv.org/pdf/2103.08808.pdf | [主页/Homepage](https://jialianwu.com/projects/TraDeS.html)
代码/code：https://github.com/JialianW/TraDeS
:heavy_check_mark:**Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking** (CVPR 2021 Oral)
论文/paper：https://arxiv.org/abs/2103.11681
代码/code： https://github.com/594422814/TransformerTrack
:heavy_check_mark:**Transformer Tracking**
论文/paper：https://arxiv.org/abs/2103.15436
代码/code： https://github.com/chenxin-dlut/TransT
[返回目录/back](#Contents)
<a name="Segmentation"></a>
## 语义分割/Segmentation
:heavy_check_mark:**Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation**
论文/paper：https://arxiv.org/abs/2103.08896 | [主页/Homepage](https://www.semion.io/doc/anti-adversarially-manipulated-attributions-for-weakly-and-semi-supervised-semantic-segmentation)
代码/code：https://github.com/jbeomlee93/AdvCAM
:heavy_check_mark:**A^2-FPN: Attention Aggregation based Feature Pyramid Network for Instance Segmentation**
论文/paper：https://arxiv.org/abs/2105.03186
代码/code：None
:heavy_check_mark: **BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation**
论文/paper：https://arxiv.org/abs/2103.08907
代码/code：https://github.com/jbeomlee93/BBAM
:heavy_check_mark:**Bidirectional Projection Network for Cross Dimension Scene Understanding** (CVPR 2021 Oral)
论文/paper：https://arxiv.org/abs/2103.14326
代码/code：https://github.com/wbhu/BPNet
:heavy_check_mark:**Boundary IoU: Improving Object-Centric Image Segmentation Evaluation**
论文/paper：https://arxiv.org/abs/2103.16562 | [主页/Homepage](https://bowenc0221.github.io/boundary-iou/)
代码/codehttps://github.com/bowenc0221/boundary-iou-api
:heavy_check_mark:**Capturing Omni-Range Context for Omnidirectional Segmentation**
论文/paper：https://arxiv.org/abs/2103.05687
代码/code：None | [作者主页/Homepage](http://www.yangkailun.com/)
:heavy_check_mark:**Coarse-to-Fine Domain Adaptive Semantic Segmentation with Photometric Alignment and Category-Center Regularization**
论文/paper：https://arxiv.org/abs/2103.13041
代码/code：None
:heavy_check_mark:**Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations**
论文/paper：https://arxiv.org/abs/2103.06342
代码/code：None
:heavy_check_mark: **Cross-Dataset Collaborative Learning for Semantic Segmentation**
论文/paper：https://arxiv.org/abs/2103.11351
代码/code：None
:heavy_check_mark:**Cross-View Regularization for Domain Adaptive Panoptic Segmentation**
论文/paper：https://arxiv.org/abs/2103.02584
代码/code：None
:heavy_check_mark:**Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation**
论文/paper： https://arxiv.org/abs/2011.10033
代码/code： https://github.com/xinge008/Cylinder3D
:heavy_check_mark:**DCT-Mask: Discrete Cosine Transform Mask Representation for Instance Segmentation**
论文/paper：https://arxiv.org/abs/2011.09876
代码/code：https://github.com/aliyun/DCT-Mask
:heavy_check_mark:**Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers**
论文/paper：https://arxiv.org/abs/2103.12340
代码/code：https://github.com/lkeab/BCNet
:heavy_check_mark:**DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation**(CVPR2021 Oral)
论文/paper：https://arxiv.org/abs/2103.15954
代码/code：None
:heavy_check_mark:**End-to-End Video Instance Segmentation with Transformers** (CVPR2021 Oral)
论文/paper： https://arxiv.org/abs/2011.14503
代码/code：https://github.com/Epiphqny/VisTR
:heavy_check_mark:**FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space**
论文/paper：https://arxiv.org/abs/2103.06030
代码/code：https://github.com/liuquande/FedDG-ELCFS
:heavy_check_mark: **Fully Convolutional Networks for Panoptic Segmentation** (CVPR2021 Oral)
论文/paper：https://arxiv.org/abs/2012.00720
代码/code：https://github.com/Jia-Research-Lab/PanopticFCN
:heavy_check_mark:**Incremental Few-Shot Instance Segmentation**
论文/paper：https://arxiv.org/abs/2105.05312
代码/code：https://github.com/danganea/iMTFA
:heavy_check_mark:**Learning to Recommend Frame for Interactive Video Object Segmentation in the Wild**
解读：https://www.zhihu.com/question/446299297/answer/1769080299
论文/paper：https://arxiv.org/abs/2103.10391
代码/code：https://github.com/svip-lab/IVOS-W
:heavy_check_mark:**Learning Statistical Texture for Semantic Segmentation**
论文/paper：https://arxiv.org/abs/2103.04133
代码/code： None
:heavy_check_mark:**Look Closer to Segment Better: Boundary Patch Refinement for Instance Segmentation**
论文/paper：https://arxiv.org/abs/2104.05239
代码/code： https://github.com/tinyalpha/BPR
:heavy_check_mark:**MetaCorrection: Domain-aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation**
论文/paper：https://arxiv.org/abs/2103.05254
代码/code：None
:heavy_check_mark:**Multi-Scale Aligned Distillation for Low-Resolution Detection**
论文/paper：https://jiaya.me/papers/ms_align_distill_cvpr21.pdf
代码/code：https://github.com/Jia-Research-Lab/MSAD
:heavy_check_mark:**Multi-Source Domain Adaptation with Collaborative Learning for Semantic Segmentation**
论文/paper：https://arxiv.org/abs/2103.04717
代码/code：None
:heavy_check_mark:**Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation**
论文/paper： https://arxiv.org/abs/2103.14581
代码/code：None
:heavy_check_mark:**Panoptic-PolarNet: Proposal-free LiDAR Point Cloud Panoptic Segmentation**
论文/paper：https://arxiv.org/abs/2103.14962
代码/code：https://github.com/edwardzhou130/Panoptic-PolarNet
:heavy_check_mark:**PLOP: Learning without Forgetting for Continual Semantic Segmentation**
论文/paper：https://arxiv.org/abs/2011.11390
代码/code：https://github.com/arthurdouillard/CVPR2021_PLOP
:heavy_check_mark:**Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation**
论文/paper：https://arxiv.org/abs/2101.10979
代码/code：https://github.com/microsoft/ProDA
:heavy_check_mark:**RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features**
论文/paper：https://arxiv.org/abs/2104.08569
代码/code：https://github.com/zhanggang001/RefineMask/
:heavy_check_mark:**Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers**
论文/paper：https://arxiv.org/abs/2012.15840
代码/code：https://github.com/fudan-zvg/SETR
:heavy_check_mark:**RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening**
论文/paper：https://arxiv.org/abs/2103.15597
代码/code：https://github.com/shachoi/RobustNet
:heavy_check_mark:**Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion**
论文/paper： https://arxiv.org/abs/2103.07074
代码/code：https://github.com/ShiQiu0419/BAAF-Net
:heavy_check_mark:**Semi-supervised Domain Adaptation based on Dual-level Domain Mixing for Semantic Segmentation**
解读：https://blog.csdn.net/msy1412/article/details/114938788
论文/paper： https://arxiv.org/abs/2103.04705
代码/code：None
:heavy_check_mark: **SG-Net: Spatial Granularity Network for One-Stage Video Instance Segmentation**
视频demo：[youtube](https://www.youtube.com/watch?v=zft0T3YUgpM)
论文/paper：https://arxiv.org/abs/2103.10284
代码/code：https://github.com/goodproj13/SG-Net
:heavy_check_mark:**Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges**
论文/paper：http://arxiv.org/abs/2009.03137 | [主页 | Homepage](https://github.com/QingyongHu/SensatUrban)
代码/code：https://github.com/QingyongHu/SensatUrban
**Zero-Shot Instance Segmentation**
解读：[CVPR 2021 | 创新奇智首次提出零样本实例分割，助力解决工业场景数据瓶颈难题](https://www.leiphone.com/news/202103/ioJRMuZHucU7cLp4.html)
论文/paper：None
代码/code：None
[返回目录/back](#Contents)
<a name="WSSS"></a>
## 弱监督语义分割/Weakly Supervised Semantic Segmentation
:heavy_check_mark:**Railroad Is Not a Train: Saliency As Pseudo-Pixel Supervision for Weakly Supervised Semantic Segmentation**
论文/paper：https://arxiv.org/abs/2105.08965
代码/code：https://github.com/halbielee/EPS
[返回目录/back](#Contents)
<a name="MedicalImageSegmentation"></a>
# 医学图像分割/Medical Image Segmentation
:heavy_check_mark:**FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space**
论文/paper：https://arxiv.org/abs/2103.06030
代码/code：https://github.com/liuquande/FedDG-ELCFS
:heavy_check_mark:**DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation**
论文/paper：https://arxiv.org/abs/2103.15954
代码/code：None
[返回目录/back](#Contents)
<a name="VideoObjectSegmentation"></a>
# 视频目标分割/Video Object Segmentation
:heavy_check_mark:**Learning Position and Target Consistency for Memory-based Video Object Segmentation**
解读：[论文翻译](https://blog.csdn.net/weixin_39778049/article/details/116234177)
论文/paper：https://arxiv.org/abs/2104.04329
代码/code：None
:heavy_check_mark:**SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation** (CVPR 2021 Oral)
论文/paper：https://arxiv.org/abs/2101.08833
代码/code：https://github.com/dukebw/SSTVOS
:heavy_check_mark:**VSPW: A Large-scale Dataset for Video Scene Parsing in the Wild**
论文/paper：https://www.vspwdataset.com/CVPR2021__miao.pdf | [主页 / Homepage](https://www.vspwdataset.com/)
代码/code：https://github.com/VSPW-dataset/VSPW_code
[返回目录/back](#Contents)
<a name="InteractiveVideoObjectSegmentation"></a>
# 交互式视频目标分割/Interactive Video Object Segmentation
:heavy_check_mark:**Learning to Recommend Frame for Interactive Video Object Segmentation in the Wild**
解读：https://www.zhihu.com/question/446299297/answer/1769080299
论文/paper：https://arxiv.org/abs/2103.10391
代码/code：https://github.com/svip-lab/IVOS-W
:heavy_check_mark:**Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion**
视频/demo：https://hkchengrex.github.io/MiVOS/video.html#partb
论文/paper：https://arxiv.org/abs/2103.07941 | [主页/ Homepage]( https://hkchengrex.github.io/MiVOS/)
代码/code： https://github.com/hkchengrex/MiVOS
[返回目录/back](#Contents)
<a name="VisualTransformer"></a>
# Visual Transformer
:heavy_check_mark:**End-to-End Human Object Interaction Detection with HOI Transformer**
论文/paper： https://arxiv.org/abs/2103.04503
代码/code：https://github.com/bbepoch/HoiTransformer
:heavy_check_mark:**End-to-End Video Instance Segmentation with Transformers** (CVPR2021 Oral)
论文/paper： https://arxiv.org/abs/2011.14503
代码/code：https://github.com/Epiphqny/VisTR
:heavy_check_mark:**HOTR: End-to-End Human-Object Interaction Detection with Transformers**
论文/paper：https://arxiv.org/abs/2104.13682
代码/code：https://github.com/bbepoch/HoiTransformer
**HR-NAS: Searching Efficient High-Resolution Neural Architectures with Transformers** (CVPR 2021 Oral)
论文/paper：None | [报道](https://news.ruc.edu.cn/archives/308662)
代码/code：https://github.com/dingmyu/HR-NAS
:heavy_check_mark:**Kaleido-BERT：Vision-Language Pre-training on Fashion Domain**
视频讲解：http://dpfan.net/wp-content/uploads/Kaleido-BERT.mp4
论文/paper：https://arxiv.org/abs/2103.16110 | [中文版 / Chinese](https://github.com/mczhuge/Kaleido-BERT/blob/main/CVPR2021_KaleidoBERT_Chinese.pdf)
代码/code： https://github.com/mczhuge/Kaleido-BERT
:heavy_check_mark:**LoFTR: Detector-Free Local Feature Matching with Transformers**
论文/paper： https://arxiv.org/abs/2104.00680 | [主页 / Homepage]( https://zju3dv.github.io/loftr/)
代码/code：https://github.com/zju3dv/LoFTR
:heavy_check_mark:**Multi-Modal Fusion Transformer for End-to-End Autonomous Driving**
视频/demo：[youtube](https://www.youtube.com/watch?v=WxadQyQ2gMs)
论文/paper： https://arxiv.org/abs/2104.09224
代码/code： https://github.com/autonomousvision/transfuser
:heavy_check_mark:**MIST: Multiple Instance Spatial Transformer Network**
论文/paper：https://arxiv.org/abs/1811.10725
代码/code：None
:heavy_check_mark: **Multimodal Motion Prediction with Stacked Transformers**
视频demo：[bilibil](https://www.bilibili.com/video/BV1bV411e7F7/) | [youtube](https://youtu.be/oUZQBGOEBMg)
论文/paper：https://arxiv.org/pdf/2103.11624.pdf
代码/code：https://github.com/decisionforce/mmTransformer
:heavy_check_mark:**Pre-Trained Image Processing Transformer**
论文/paper： https://arxiv.org/abs/2012.00364
代码/code：https://github.com/huawei-noah/Pretrained-IPT
:heavy_check_mark:**Pose Recognition with Cascade Transformers**
论文/paper：https://arxiv.org/abs/2104.06976
代码/code：https://github.com/mlpc-ucsd/PRTR
:heavy_check_mark:**Revamping cross-modal recipe retrieval with hierarchical Transformers and self-supervised learning**
论文/paper：https://www.amazon.science/publications/revamping-cross-modal-recipe-retrieval-with-hierarchical-transformers-and-self-supervised-learning
代码/code：https://github.com/amzn/image-to-recipe-transformers
:heavy_check_mark:**Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers**
论文/paper：https://arxiv.org/abs/2012.15840
代码/code：https://github.com/fudan-zvg/SETR
:heavy_check_mark:**Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking** (CVPR 2021 Oral)
论文/paper：https://arxiv.org/abs/2103.11681
代码/code： https://github.com/594422814/TransformerTrack
:heavy_check_mark:**Thinking Fast and Slow: Efficient Text-to-Visual Retrieval with Transformers**
论文/paper： https://arxiv.org/abs/2103.16553
代码/code：None
:heavy_check_mark:**Transformer Tracking**
论文/paper：https://arxiv.org/abs/2103.15436
代码/code： https://github.com/chenxin-dlut/TransT
:heavy_check_mark:**Transformer Interpretability Beyond Attention Visualization**
论文/paper：https://arxiv.org/abs/2012.09838
代码/code：https://github.com/hila-chefer/Transformer-Explainability
:heavy_check_mark:**UP-DETR: Unsupervised Pre-training for Object Detection with Transformers** (CVPR2021 Oral)
解读：https://zhuanlan.zhihu.com/p/356349626 | [华南理工和微信AI提出的无监督预训练检测器UP-DETR](https://www.zhihu.com/question/432321109/answer/1606004872)
论文/paper： https://arxiv.org/abs/2011.09094
代码/code：https://github.com/dddzg/up-detr
:heavy_check_mark:**Variational Transformer Networks for Layout Generation**
论文/paper：https://arxiv.org/abs/2104.02416
代码/code：None
[返回目录/back](#Contents)
<a name="FaceRecognition"></a>
# 人脸识别/Face Recognition
:heavy_check_mark:**A 3D GAN for Improved Large-pose Facial Recognition**
论文/paper：https://arxiv.org/abs/2012.10545
代码/code：None
:heavy_check_mark: **MagFace: A Universal Representation for Face Recognition and Quality Assessment** (CVPR 2021 Oral)
论文/paper：https://arxiv.org/abs/2103.06627
代码/code：https://github.com/IrvingMeng/MagFace
:heavy_check_mark: **WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition**
论文/paper：https://arxiv.org/abs/2103.04098 | [主页 | Homepage](https://www.face-benchmark.org/)
代码/code：None
:heavy_check_mark: **When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework**(CVPR 2021 Oral)
论文/paper：https://arxiv.org/abs/2103.01520
代码/code：https://github.com/Hzzone/MTLFace
[返回目录/back](#Contents)
<a name="FaceDetection"></a>
# 人脸检测/Face Detection
:heavy_check_mark: **CRFace: Confidence Ranker for Model-Agnostic Face Detection Refinement**
论文/paper：https://arxiv.org/abs/2103.07017
代码/code：None
:heavy_check_mark: **HLA-Face: Joint High-Low Adaptation for Low Light Face Detection**
解读：[北京大学 | HLA-Face：用于暗光人脸检测的联合高-低自适应（CVPR2021](https://hub.baai.ac.cn/view/7478)
论文/paper： https://arxiv.org/abs/2104.01984 |[主页 | Homepage]( https://daooshee.github.io/HLA-Face-Website/)
代码/code：https://github.com/daooshee/HLA-Face-Code
[返回目录/back](#Contents)
<a name="FaceAnti-Spoofing"></a>
# 人脸活体检测/Face Anti-Spoofing
:heavy_check_mark: **Cross Modal Focal Loss for RGBD Face Anti-Spoofing**
解读：[论文翻译](https://blog.csdn.net/bianlongpeng/article/details/114935866) | [CVPR2021 人脸防伪相关paper](https://zhuanlan.zhihu.com/p/355208676)
论文/paper：https://arxiv.org/abs/2103.00948
代码/code：None
:heavy_check_mark: **Frequency-aware Discriminative Feature Learning Supervised by Single-Center Loss for Face Forgery Detection**
论文/paper：https://arxiv.org/abs/2103.09096
代码/code：None
:heavy_check_mark:**ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis**
解读：[CVPR 2021 Oral｜商汤提出最新深伪评测基准 ForgeryNet：左右互搏——论火眼金睛的修炼](https://zhuanlan.zhihu.com/p/357301664)
论文/paper：https://arxiv.org/abs/2103.05630 | [主页 | Homepage](https://yinanhe.github.io/projects/forgerynet.html)
代码/code：None
:heavy_check_mark: **MagDR: Mask-guided Detection and Reconstruction for Defending Deepfakes**
解读：[Deepfake防御新思路有了！腾讯首次公开MagDR框架，已被AI顶会接收](https://cloud.tencent.com/developer/news/797874)
论文/paper：https://arxiv.org/abs/2103.14211
代码/code：None
:heavy_check_mark: **Multi-attentional Deepfake Detection** (CVPR2021 preview)
论文/paper：https://arxiv.org/abs/2103.02406
代码/code：https://github.com/yoctta/multiple-attention
[返回目录/back](#Contents)
<a name="AgeEstimation"></a>
# 人脸年龄估计/Age Estimation
:heavy_check_mark:**Continuous Face Aging via Self-estimated Residual Age Embedding**
论文/paper：https://arxiv.org/abs/2105.00020
代码/code：
:heavy_check_mark: **PML: Progressive Margin Loss for Long-tailed Age Classification**
论文/paper：https://arxiv.org/abs/2103.02140
代码/code：None
[返回目录/back](#Contents)
<a name="FacialExpressionRecognition"></a>
# 人脸表情识别/Facial Expression Recognition
:heavy_check_mark: **Affective Processes: stochastic modelling of temporal context for emotion and facial expression recognition**
论文/paper：https://arxiv.org/abs/2103.13372
代码/code： None
:heavy_check_mark:**Feature Decomposition and Reconstruction Learning for Effective Facial Expression Recognition**
论文/paper：https://arxiv.org/abs/2104.05160 | [厦大新闻](https://cs.xmu.edu.cn/info/1045/1926.htm)
代码/code： None
[返回目录/back](#Contents)
<a name="FacialAttributeRecognition"></a>
# 人脸属性识别/Facial Attribute Recognition
**Learning Spatial-Semantic Relationship for Facial Attribute Recognition with Limited Labeled Data**
论文/paper：None | [厦大新闻](https://cs.xmu.edu.cn/info/1045/1926.htm)
代码/code： None
<a name="HumanPoseEstimation"></a>
# 人体姿态估计/Human Pose Estimation
:heavy_check_mark:**Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Video**
视频demo：[youtube](https://www.youtube.com/watch?v=WB3nTnSQDII) | [bilibili](https://www.bilibili.com/video/BV1vQ4y1d71M/)
论文/paper：https://arxiv.org/abs/2011.08627
代码/code：https://github.com/hongsukchoi/TCMR_RELEASE
:heavy_check_mark: **Deep Dual Consecutive Network for Human Pose Estimation**
视频demo：[bilibil](https://www.bilibili.com/video/BV1iy4y177Mf?from=search&seid=10675595845989092503)
论文/paper：https://arxiv.org/abs/2103.07254
代码/code：https://github.com/Pose-Group/DCPose
:heavy_check_mark:**HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation**
论文/paper：https://arxiv.org/abs/2011.14672 | [主页/Homepage](https://jeffli.site/HybrIK/)
代码/code： https://github.com/Jeff-sjtu/HybrIK
:heavy_check_mark:**Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-localization in Large Scenes from Body-Mounted Sensors**
视频demo：[video](http://virtualhumans.mpi-inf.mpg.de/hps/hps_video.mp4)
论文/paper：https://arxiv.org/abs/2103.17265
代码/code：| [主页/Homepage](http://virtualhumans.mpi-inf.mpg.de/hps/)
:heavy_check_mark: **Monocular 3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks**
论文/paper： https://arxiv.org/abs/2104.01797
代码/code：https://github.com/3dpose/3D-Multi-Person-Pose
:heavy_check_mark:**PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation**（CVPR 2021 Oral）
论文/paper： https://arxiv.org/abs/2105.02465
代码/code：https://github.com/jfzhang95/PoseAug
[返回目录/back](#Contents)
<a name="6DPoseEstimation"></a>
# 6D位姿估计 /6D Pose Estimation
:heavy_check_mark:**FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation**
视频demo：[bilibili](https://www.bilibili.com/video/BV1YU4y1a7Kp?from=search&seid=8306279574921937158) | [youtube](https://www.youtube.com/watch?v=SSi2TnyD6Is)
论文/paper：https://arxiv.org/abs/2103.02242
代码/code： https://github.com/ethnhe/FFB6D
:heavy_check_mark:**FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation Mechanism** (CVPR2021 Oral)
论文/paper：https://arxiv.org/abs/2103.07054 | [主页 | Homepage]( https://jeffli.site/HybrIK/)
代码/code：https://github.com/DC1991/FS-Net
:heavy_check_mark:**GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation**
论文/paper：http://arxiv.org/abs/2102.12145
代码/code：https://git.io/GDR-Net
[返回目录/back](#Contents)
<a name="HandPoseEstimation"></a>
## 手势姿态估计（重建）/Hand Pose Estimation( Hand Mesh Recovery
:heavy_check_mark:**Camera-Space Hand Mesh Recovery via Semantic Aggregationand Adaptive 2D-1D Registration**
论文/paper：https://arxiv.org/abs/2103.02845.pdf
代码/code：https://github.com/SeanChenxy/HandMesh
[返回目录/back](#Contents)
<a name="PersonRe-identification"></a>
## 行人重识别/Person Re-identification
:heavy_check_mark:**Combined Depth Space based Architecture Search For Person Re-identification**
论文/paper： https://arxiv.org/abs/2104.04163
代码/code：None
:heavy_check_mark:**Group-aware Label Transfer for Domain Adaptive Person Re-identification**
论文/paper： https://arxiv.org/abs/2103.12366
代码/code：https://github.com/zkcys001/UDAStrongBaseline
:heavy_check_mark:**Intra-Inter Camera Similarity for Unsupervised Person Re-Identification**
论文/paper： https://arxiv.org/abs/2103.11658
代码/code：https://github.com/SY-Xuan/IICS
:heavy_check_mark:**Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification**
论文/paper： https://arxiv.org/abs/2103.04618
代码/code：https://github.com/FlyingRoastDuck/MetaCam_DSCE
:heavy_check_mark:**Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification**
论文/paper：https://arxiv.org/abs/2012.00417
代码/code：https://github.com/HeliosZhao/M3L
:heavy_check_mark:**Lifelong Person Re-Identification via Adaptive Knowledge Accumulation**
论文/paper：https://arxiv.org/abs/2103.12462
代码/code：https://github.com/TPCD/LifelongReID
:heavy_check_mark:**Meta Batch-Instance Normalization for Generalizable Person Re-Identification**
论文/paper： https://arxiv.org/abs/2011.14670
代码/code：https://github.com/bismex/MetaBIN
:heavy_check_mark:**Neural Feature Search for RGB-Infrared Person Re-Identification**
论文/paper：https://arxiv.org/abs/2104.02366
代码/code：None
:heavy_check_mark:**Unsupervised Multi-Source Domain Adaptation for Person Re-Identification**
论文/paper：https://arxiv.org/abs/2104.12961
代码/code：None
:heavy_check_mark:**Watching You: Global-guided Reciprocal Learning for Video-based Person Re-identification**
论文/paper：https://arxiv.org/abs/2103.04337
代码/code：https://github.com/flysnowtiger/GRL
**Coarse-To-Fine Person Re-Identification With Auxiliary-Domain Classification and Second-Order Information Bottleneck**
论文/paper：None
代码/code：None
**Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification**
论文/paper：None
代码/code：None
**Joint Generative and Contrastive Learning for Unsupervised Person Re-Identification**
论文/paper：None
代码/code：None
**BiCnet-TKS: Learning Efficient Spatial-Temporal Representation for Video Person Re-Identification**
论文/paper：None
代码/code：None
**Person30K: A Dual-Meta Generalization Network for Person Re-Identification**
论文/paper：None
代码/code：None
**Diverse Part Discovery: Occluded Person Re-Identification With Part-Aware Transformer**
论文/paper：None
代码/code：None
**Discover Cross-Modality Nuances for Visible-Infrared Person Re-Identification**
论文/paper：None
代码/code：None
**Spatial-Temporal Correlation and Topology Learning for Person Re-Identification in Videos**
论文/paper：None
代码/code：None
**Learning 3D Shape Feature for Texture-Insensitive Person Re-Identification**
论文/paper：None
代码/code：None
**Partial Person Re-Identification With Part-Part Correspondence Learning**
论文/paper：None
代码/code：None
**Fine-Grained Shape-Appearance Mutual Learning for Cloth-Changing Person Re-Identification**
论文/paper：None
代码/code：None
**UnrealPerson: An Adaptive Pipeline Towards Costless Person Re-Identification**
论文/paper：None
代码/code：None
**Person Re-Identification Using Heterogeneous Local Graph Attention Networks**
论文/paper：None
代码/code：None
**Wide-Baseline Multi-Camera Calibration Using Person Re-Identification**
论文/paper：None
代码/code：None
**Unsupervised Pre-Training for Person Re-Identification**
论文/paper：None
代码/code：None
**Generalizable Person Re-Identification With Relevance-Aware Mixture of Experts**
论文/paper：None
代码/code：None
[返回目录/back](#Contents)
<a name="PersonSearch"></a>
# 行人搜索/Person Search
:heavy_check_mark:**Anchor-Free Person Search**
解读：https://zhuanlan.zhihu.com/p/359617800
论文/paper：https://arxiv.org/abs/2103.11617
代码/code：https://github.com/daodaofr/AlignPS
<a name="CrowdCounting"></a>
## 人群计数 / Crowd Counting
:heavy_check_mark:**Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting**
论文/paper：https://arxiv.org/abs/2012.04529
代码/code：https://github.com/chen-judge/RGBTCrowdCounting
:heavy_check_mark:**Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark**
论文/paper：https://arxiv.org/abs/2105.02440
代码/code：https://github.com/VisDrone/DroneCrowd
[返回目录/back](#Contents)
<a name="GAN"></a>
## GAN
:heavy_check_mark: **Anycost GANs for Interactive Image Synthesis and Editing**
视频/demo：[youtube](https://www.youtube.com/watch?v=_yEziPl9AkM)
论文/paper：https://arxiv.org/abs/2103.03243
代码/code：https://github.com/mit-han-lab/anycost-gan
:heavy_check_mark:**A 3D GAN for Improved Large-pose Facial Recognition**
论文/paper：https://arxiv.org/abs/2012.10545
代码/code：None
:heavy_check_mark:**Closed-Form Factorization of Latent Semantics in GANs** （CVPR 2021 Oral）
视频/demo：[youtube](https://www.youtube.com/watch?v=OFHW2WbXXIQ)
论文/paper：https://arxiv.org/abs/2007.06600 | [主页 | Homepage](https://genforce.github.io/sefa/)
代码/code：https://github.com/genforce/sefa
:heavy_check_mark: **CoMoGAN: continuous model-guided image-to-image translation**
论文/paper：https://arxiv.org/abs/2103.06879
代码/code：https://github.com/cv-rits/CoMoGAN
:heavy_check_mark: **DeFLOCNet: Deep Image Editing via Flexible Low-level Controls**
论文/paper：https://arxiv.org/abs/2103.12723
代码/code：https://github.com/KumapowerLIU/DeFLOCNet
:heavy_check_mark: **DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network**
解读：https://zhuanlan.zhihu.com/p/366231002
论文/paper：https://arxiv.org/abs/2103.07893
代码/code：https://github.com/ruiliu-ai/DivCo
:heavy_check_mark: **Diverse Semantic Image Synthesis via Probability Distribution Modeling**
论文/paper：https://arxiv.org/abs/2103.06878
代码/code：https://github.com/tzt101/INADE
:heavy_check_mark: **Drafting and Revision: Laplacian Pyramid Network for Fast High-Quality Artistic Style Transfer**
论文/paper：https://arxiv.org/abs/2104.05376
代码/code： https://github.com/PaddlePaddle/PaddleGAN/
:heavy_check_mark: **Efficient Conditional GAN Transfer with Knowledge Propagation across Classes**
论文/paper：https://arxiv.org/abs/2102.06696
代码/code：https://github.com/mshahbazi72/cGANTransfer
:heavy_check_mark: **Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation**
论文/paper：https://arxiv.org/abs/2008.00951 | [主页 | Homepage](https://eladrich.github.io/pixel2style2pixel/)
代码/code：https://github.com/eladrich/pixel2style2pixel
**Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing**
论文/paper：https://yunjey.github.io/
代码/code：None
:heavy_check_mark:**Generative Hierarchical Features from Synthesizing Image** (CVPR 2021 (Oral))
论文/paper：https://arxiv.org/abs/2007.10379 | [主页 | Homepage](https://genforce.github.io/ghfeat/)
代码/code：https://github.com/genforce/ghfeat
:heavy_check_mark:**Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs**
论文/paper：https://arxiv.org/abs/2011.14107 | [主页 | Homepage](https://a514514772.github.io/hijackgan/)
代码/code：https://github.com/a514514772/hijackgan
:heavy_check_mark:**HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms**
论文/paper：https://arxiv.org/abs/2011.11731
代码/code：https://github.com/mahmoudnafifi/HistoGAN
:heavy_check_mark:**High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network**
论文/paper： https://arxiv.org/abs/2105.09188
代码/code：https://github.com/csjliang/LPTN
:heavy_check_mark:**HumanGAN: A Generative Model of Humans Images**
论文/paper：https://arxiv.org/abs/2103.06902
代码/code：None
:heavy_check_mark:**ID-Unet: Iterative Soft and Hard Deformation for View Synthesis**
论文/paper：https://arxiv.org/abs/2103.02264
代码/code： https://github.com/MingyuY/Iterative-view-synthesis
:heavy_check_mark:**Image-to-image Translation via Hierarchical Style Disentanglement**
论文/paper：https://arxiv.org/abs/2103.01456
代码/code：https://github.com/imlixinyang/HiSD
:heavy_check_mark:**LOHO: Latent Optimization of Hairstyles via Orthogonalization**
论文/paper：https://arxiv.org/abs/2103.03891
代码/code：https://github.com/dukebw/LOHO
**PD-GAN: Probabilistic Diverse GAN for Image Inpainting**
论文/paper：None
代码/code：https://github.com/KumapowerLIU/PD-GAN
:heavy_check_mark: **PISE: Person Image Synthesis and Editing with Decoupled GAN**
论文/paper： https://arxiv.org/abs/2103.04023
代码/code： https://github.com/Zhangjinso/PISE
:heavy_check_mark:**pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis** (CVPR 2021 (Oral))
论文/paper：https://arxiv.org/abs/2012.00926 | [主页 | Homepage]( https://marcoamonteiro.github.io/pi-GAN-website/)
代码/code：None
:heavy_check_mark:**Regularizing Generative Adversarial Networks under Limited Data**
论文/paper：https://arxiv.org/abs/2104.03310 | [主页 | Homepage](https://hytseng0509.github.io/lecam-gan/)
代码/code：https://github.com/google/lecam-gan
:heavy_check_mark:**Teachers Do More Than Teach: Compressing Image-to-Image Models**
论文/paper：https://arxiv.org/abs/2103.03467
代码/code：https://github.com/snap-research/CAT
:heavy_check_mark:**TediGAN: Text-Guided Diverse Image Generation and Manipulation**
论文/paper：https://arxiv.org/abs/2012.03308
代码/code：https://github.com/weihaox/TediGAN
:heavy_check_mark: **Training Generative Adversarial Networks in One Stage**
论文/paper：https://arxiv.org/abs/2103.00430
代码/code：None
:heavy_check_mark:**Towards Real-World Blind Face Restoration with Generative Facial Prior**
解读：[解读1](https://www.linkresearcher.com/theses/77dbb9e3-bbdf-4f7e-83f1-da797cb98667) | [2](https://zhuanlan.zhihu.com/p/344602972)
论文/paper： https://arxiv.org/abs/2101.04061
代码/code：None
[返回目录/back](#Contents)
<a name="CPM"></a>
## 彩妆迁移 / Color-Pattern Makeup Transfer
:heavy_check_mark:**Lipstick ain't enough: Beyond Color-Matching for In-the-Wild Makeup Transfer**
论文/paper：https://arxiv.org/abs/2104.01867
代码/code：https://github.com/VinAIResearch/CPM
:heavy_check_mark:**Spatially-invariant Style-codes Controlled Makeup Transfer**
论文/paper：http://www.shengfenghe.com/?attachment_id=26109&download=1
代码/code：https://github.com/makeuptransfer/SCGAN
[返回目录/back](#Contents)
<a name="FontGeneration"></a>
## 字体生成 / Font Generation
:heavy_check_mark:**DG-Font: Deformable Generative Networks for Unsupervised Font Generation**
论文/paper：https://arxiv.org/abs/2104.03064
代码/code：https://github.com/ecnuycxie/DG-Font
[返回目录/back](#Contents)
<a name="OCR"></a>
## OCR
[CVPR 2021 OCR领域相关22篇论文速览](https://mp.weixin.qq.com/s?__biz=MzU4NTY4Mzg1Mw==&mid=2247508038&idx=3&sn=1d6715d16606a894287945e280d51367&chksm=fd8426a4caf3afb2619229f05a007b454f7eb53f1a88f663e9f61528863ce881c42c00d30d30&scene=27#wechat_redirect)
### **文字图像处理（超分辨率增强、文字分割、文档版面分析）**
**Scene Text Telescope: Text-Focused Scene Image Super-Resolution**
论文/paper：https://openaccess.thecvf.com/content/CVPR2021/papers/Chen_Scene_Text_Telescope_Text-Focused_Scene_Image_Super-Resolution_CVPR_2021_paper.pdf
代码/code：None
**Rethinking Text Segmentation: A Novel Dataset and a Text-Specific Refinement Approach**
论文/paper：http://arxiv.org/abs/2011.14021
代码/code：None
**Variational Transformer Networks for Layout Generation**
论文/paper：http://arxiv.org/abs/2104.02416
代码/code：None
### 场景文本检测、识别/Scene Text Detection/Recognition
:heavy_check_mark:**Fourier Contour Embedding for Arbitrary-Shaped Text Detection**
论文/paper：https://arxiv.org/abs/2104.10442
代码/code：https://github.com/open-mmlab/mmocr (https://www.pazhoulab.com/2021/04/1704/ 官方介绍将于 mmocr 开源)
:heavy_check_mark:**MOST: A Multi-Oriented Scene Text Detector with Localization Refinement**
解读：https://zhuanlan.zhihu.com/p/362679808
论文/paper：https://arxiv.org/abs/2104.01070
代码/code：None
**Progressive Contour Regression for Arbitrary-Shape Scene Text Detection**
论文/paper：https://openaccess.thecvf.com/content/CVPR2021/papers/Dai_Progressive_Contour_Regression_for_Arbitrary-Shape_Scene_Text_Detection_CVPR_2021_paper.pdf
代码/code：None
**Semantic-Aware Video Text Detection**
论文/paper：https://openaccess.thecvf.com/content/CVPR2021/papers/Feng_Semantic-Aware_Video_Text_Detection_CVPR_2021_paper.pdf
代码/code：None
:heavy_check_mark:**What If We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labels**
论文/paper：https://arxiv.org/abs/2103.04400
代码/code：https://github.com/ku21fan/STR-Fewer-Labels
### **端到端文字识别**
**Implicit Feature Alignment: Learn To Convert Text Recognizer to Text Spotter**
论文/paper：http://arxiv.org/abs/2106.05920
代码/code：https://github.com/WangTianwei/Implicit-feature-alignment
**A Multiplexed Network for End-to-End, Multilingual OCR**
论文/paper：http://arxiv.org/abs/2103.15992
代码/code：None
### **手写文字分析与识别**
:heavy_check_mark:**MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition**
论文/paper：https://arxiv.org/abs/2104.01876 | [主页 / Homepage](https://aneeshan95.github.io/)
代码/code：None
**Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting**
论文/paper：https://arxiv.org/abs/2103.13716
代码/code：https://github.com/AyanKumarBhunia/Self-Supervised-Learning-for-Sketch
### **其它（文档图像预训练模型，Text VQA、数据集，Retrieval , 应用）**
**SelfDoc: Self-Supervised Document Representation Learning**
论文/paper：http://arxiv.org/abs/2106.03331
代码/code：None
**TAP: Text-Aware Pre-Training for Text-VQA and Text-Caption**
论文/paper：http://arxiv.org/abs/2012.04638
代码/code：None
**Improving OCR-Based Image Captioning by Incorporating Geometrical Relationship**
论文/paper：https://openaccess.thecvf.com/content/CVPR2021/papers/Wang_Improving_OCR-Based_Image_Captioning_by_Incorporating_Geometrical_Relationship_CVPR_2021_paper.pdf
代码/code：None
**Deep Texture Recognition via Exploiting Cross-Layer Statistical Self-Similarity**
论文/paper：None | 介绍：https://www.pazhoulab.com/2021/04/1704/
代码/code：None
:heavy_check_mark:**Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition**
论文/paper：https://arxiv.org/abs/2103.06495
代码/code：https://github.com/FangShancheng/ABINet
:heavy_check_mark: **Scene Text Retrieval via Joint Text Detection and Similarity Learning**
论文/paper：https://arxiv.org/abs/2104.01552
代码/code：https://github.com/lanfeng4659/STR-TDSL
**Self-attention based Text Knowledge Mining for Text Detection**
论文/paper：None
代码/code：https://github.com/CVI-SZU/STKM
:heavy_check_mark:**TextOCR: Towards large-scale end-to-end reasoning for arbitrary-shaped scene text**
论文/paper：https://arxiv.org/abs/2105.05486 | [主页 / Homepage](https://textvqa.org/textocr)
代码/code：None
:heavy_check_mark:**Towards Accurate Text-based Image Captioning with Content Diversity Exploration**
论文/paper：https://github.com/guanghuixu/AnchorCaptioner/blob/main/projects/TextCap_CVPR.pdf
代码/code：https://github.com/guanghuixu/AnchorCaptioner
[返回目录/back](#Contents)
<a name="Retrieval"></a>
## 图像、视频检索 / Image Retrieval/Video retrieval
:heavy_check_mark:**StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval**
论文/paper：https://arxiv.org/abs/2103.15706
代码/code：None
:heavy_check_mark:**QAIR: Practical Query-efficient Black-Box Attacks for Image Retrieval**
论文/paper：https://arxiv.org/abs/2103.02927
代码/code：None
:heavy_check_mark:**On Semantic Similarity in Video Retrieval**
论文/paper：https://arxiv.org/abs/2103.10095 | [主页 / Homepage](https://mwray.github.io/SSVR/)
代码/code：https://github.com/mwray/Semantic-Video-Retrieval
[返回目录/back](#Contents)
<a name="ImageAnimation"></a>
## Image Animation
:heavy_check_mark: **Motion Representations for Articulated Animation**
视频/demo：[youtube](https://www.youtube.com/watch?v=gpBYN8t8_yY)
论文/paper： https://arxiv.org/abs/2104.11280 | [主页 | Homepage](https://snap-research.github.io/articulated-animation/)
代码/code：https://github.com/snap-research/articulated-animation
[返回目录/back](#Contents)
<a name="ImageMatting"></a>
## 抠图/Image Matting/Video Matting
:heavy_check_mark:**Deep Video Matting via Spatio-Temporal Alignment and Aggregation**
论文/paper：https://arxiv.org/abs/2104.11208
代码/code：https://github.com/nowsyn/DVM
:heavy_check_mark:**Improved Image Matting via Real-time User Clicks and Uncertainty Estimation**
论文/paper：https://arxiv.org/abs/2012.08323
代码/code：None
**Mask Guided Matting via Progressive Refinement Network**
论文/paper：https://arxiv.org/abs/2012.06722
代码/code：https://github.com/yucornetto/MGMatting
:heavy_check_mark:**Omnimatte: Associating Objects and Their Effects in Video(Omnimatte**
论文/paper：https://arxiv.org/abs/2105.06993 | [主页/Homepage](https://omnimatte.github.io/)
代码/code：None
:heavy_check_mark:**Real-Time High Resolution Background Matting**
视频/demo：[youtube](https://youtu.be/oMfPTeYDF9g)
论文/paper：https://arxiv.org/abs/2012.07810 | [主页/Homepage](https://grail.cs.washington.edu/projects/background-matting-v2/)
代码/code：https://github.com/PeterL1n/BackgroundMattingV2
:heavy_check_mark:**Semantic Image Matting**
论文/paper：https://arxiv.org/abs/2104.08201
代码/code：https://github.com/nowsyn/SIM
[返回目录/back](#Contents)
<a name="SuperResolution"></a>
# 超分辨率/Super Resolution
:heavy_check_mark:**AdderSR: Towards Energy Efficient Image Super-Resolution**
论文/paper：https://arxiv.org/abs/2009.08891
代码/code：None
:heavy_check_mark:**BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond**
论文/paper：https://arxiv.org/abs/2012.02181| [主页 / Homepage](https://ckkelvinchan.github.io/projects/BasicVSR/)
代码/code：https://github.com/ckkelvinchan/BasicVSR-IconVSR
:heavy_check_mark:**ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic**
论文/paper：https://arxiv.org/abs/2103.04039
代码/code：https://github.com/Xiangtaokong/ClassSR
:heavy_check_mark:**Cross-MPI: Cross-scale Stereo for Image Super-Resolution using Multiplane Images**
解读：[CVPR 2021，Cross-MPI以底层场景结构为线索的端到端网络，在大分辨率（x8）差距下也可完成高保真的超分辨率](https://zhuanlan.zhihu.com/p/354752197)
论文/paper：https://arxiv.org/abs/2011.14631 | [主页 / Homepage](http://www.liuyebin.com/crossMPI/crossMPI.html)
代码/code：None
:heavy_check_mark: **Data-Free Knowledge Distillation For Image Super-Resolution**
论文/paper：https://openaccess.thecvf.com/content/WACV2021/papers/Chawla_Data-Free_Knowledge_Distillation_for_Object_Detection_WACV_2021_paper.pdf
代码/code：None
:heavy_check_mark:**Exploring Sparsity in Image Super-Resolution for Efficient Inference**
论文/paper：https://arxiv.org/abs/2006.09603
代码/code：https://github.com/LongguangWang/SMSR
:heavy_check_mark:**Flow-based Kernel Prior with Application to Blind Super-Resolution**
论文/paper：https://arxiv.org/pdf/2103.15977.pdf
代码/code：https://github.com/JingyunLiang/FKP
:heavy_check_mark:**GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution**
论文/paper：https://ckkelvinchan.github.io/papers/glean.pdf | [主页 / Homepage](https://ckkelvinchan.github.io/projects/GLEAN/)
代码/code：None
:heavy_check_mark:**Interpreting Super-Resolution Networks with Local Attribution Maps**
解读：https://arxiv.org/pdf/2011.11036.pdf | [CVPR2021-顾津锦：使用局部归因图理解和可视化超分辨网络](https://zhuanlan.zhihu.com/p/363139999)
论文/paper：https://x-lowlevel-vision.github.io/lam.html
代码/code：None | [colab](https://colab.research.google.com/drive/1ZodQ8CRCfHw0y6BweG9zB3YrK_lYWcDk?usp=sharing)
**LAU-Net: Latitude Adaptive Upscaling Network for Omnidirectional Image Super-resolution**
论文/paper：None | [主页/Homepage](http://buaamc2.net/)
代码/code：https://github.com/wangh-allen/LAU-Net
:heavy_check_mark:**Learning Continuous Image Representation with Local Implicit Image Function**
论文/paper：https://arxiv.org/abs/2012.09161 | [主页/Homepage](https://yinboc.github.io/liif/)
代码/code：https://github.com/yinboc/liif
:heavy_check_mark:**MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution**
论文/paper：https://jiaya.me/papers/masasr_cvpr21.pdf
代码/code：https://github.com/Jia-Research-Lab/MASA-SR
:heavy_check_mark:**Robust Reference-based Super-Resolution via C²-Matching**
论文/paper：https://arxiv.org/abs/2106.01863 | [主页 / Homepage](https://ckkelvinchan.github.io/)
代码/code：https://github.com/yumingj/C2-Matching
**Temporal Modulation Network for Controllable Space-Time Video Super-Resolution**
论文/paper：None | [主页 / Homepage](https://csjunxu.github.io/)
代码/code：https://github.com/CS-GangXu/CS-GangXu
:heavy_check_mark: **Unsupervised Degradation Representation Learning for Blind Super-Resolution**
论文/paper：https://arxiv.org/abs/2104.00416
代码/code：https://github.com/LongguangWang/DASR
:heavy_check_mark:**Video Rescaling Networks with Joint Optimization Strategies for Downscaling and Upscaling**
论文/paper：https://arxiv.org/abs/2103.14858 | [主页 / Homepage](https://ding3820.github.io/MIMO-VRN/)
代码/code：https://github.com/ding3820/MIMO-VRN
[返回目录/back](#Contents)
<a name="ImageRestoration"></a>
# 图像复原/Image Restoration
:heavy_check_mark:**Multi-Stage Progressive Image Restoration**
论文/paper：https://arxiv.org/abs/2102.02808
代码/code：https://github.com/swz30/MPRNet
[返回目录/back](#Contents)
<a name="ImageInpainting"></a>
# 图像补全/Image Inpainting
**Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE**
论文/paper：https://arxiv.org/abs/2103.10022
代码/code：https://github.com/USTC-JialunPeng/Diverse-Structure-Inpainting
**Image Inpainting Guided by Coherence Priors of Semantics and Textures**
论文/paper：https://arxiv.org/abs/2012.08054
代码/code：None
:heavy_check_mark:**Image Inpainting with External-internal Learning and Monochromic Bottleneck**
解读：https://zhuanlan.zhihu.com/p/369717594
论文/paper：https://arxiv.org/abs/2104.09068
代码/code：https://github.com/Tengfei-Wang/external-internal-inpainting
**PD-GAN: Probabilistic Diverse GAN for Image Inpainting**
论文/paper： https://openaccess.thecvf.com/content/CVPR2021/papers/Liu_PD-GAN_Probabilistic_Diverse_GAN_for_Image_Inpainting_CVPR_2021_paper.pdf
代码/code：https://github.com/KumapowerLIU/PD-GAN
:heavy_check_mark:**TransFill: Reference-guided Image Inpainting by Merging Multiple Color and Spatial Transformations**
论文/paper： https://arxiv.org/abs/2103.15982 | [主页 / Homepage](https://yzhouas.github.io/projects/TransFill/index.html)
代码/code：None
[返回目录/back](#Contents)
<a name="ImageEditing"></a>
# 图像编辑/Image Editing
:heavy_check_mark:**Anycost GANs for Interactive Image Synthesis and Editing**
论文/paper：https://arxiv.org/abs/2103.03243
代码/code：https://github.com/mit-han-lab/anycost-gan
:heavy_check_mark:**DeFLOCNet: Deep Image Editing via Flexible Low-level Controls**
论文/paper：https://arxiv.org/abs/2103.12723
代码/code：https://github.com/KumapowerLIU/DeFLOCNet
:heavy_check_mark:**Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing**
视频/demo：[youtube](https://www.youtube.com/watch?v=qCapNyRA_Ng)
论文/paper：None | [主页 / Homepage](https://yunjey.github.io/)
代码/code：None
:heavy_check_mark:**High-Fidelity and Arbitrary Face Editing**
论文/paper：https://arxiv.org/abs/2103.15814
代码/code：None
:heavy_check_mark:**PISE: Person Image Synthesis and Editing with Decoupled GAN**
论文/paper：https://arxiv.org/abs/2103.04023
代码/code：https://github.com/Zhangjinso/PISE
:heavy_check_mark:**StyleMapGAN: Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing**
视频/demo：[youtube](https://www.youtube.com/watch?v=qCapNyRA_Ng)
论文/paper：https://arxiv.org/abs/2104.14754
代码/code：https://github.com/naver-ai/StyleMapGAN
[返回目录/back](#Contents)
<a name="ImageMatching"></a>
# 图像匹配/Image Matching
:heavy_check_mark:**LoFTR: Detector-Free Local Feature Matching with Transformers**
论文/paper： https://arxiv.org/abs/2104.00680 | [主页 / Homepage]( https://zju3dv.github.io/loftr/)
代码/code：https://github.com/zju3dv/LoFTR
:heavy_check_mark:**Convolutional Hough Matching Networks** （CVPR 2021 Oral）
论文/paper：https://arxiv.org/abs/2103.16831 | [主页 / Homepage]( http://cvlab.postech.ac.kr/research/CHM/)
代码/code：None
[返回目录/back](#Contents)
<a name="ImageBlending"></a>
# 图像融合/Image Blending
:heavy_check_mark:**Bridging the Visual Gap: Wide-Range Image Blending**
论文/paper：https://arxiv.org/abs/2103.15149
代码/code：https://github.com/julia0607/Wide-Range-Image-Blending
[返回目录/back](#Contents)
<a name="ImageDehazing"></a>
## 图像去雾/Image Dehazing
:heavy_check_mark:**Contrastive Learning for Compact Single Image Dehazing**
解读：[对比学习去雾](https://www.jianshu.com/p/2b7fc8149ab2)
论文/paper：https://arxiv.org/abs/2104.09367
代码/code： https://github.com/GlassyWu/AECR-Net
[返回目录/back](#Contents)
<a name="ReflectionRemoval"></a>
## 反光去除/Reflection Removal
:heavy_check_mark:**Panoramic Image Reflection Removal**
视频/demo：[youtube](https://www.youtube.com/watch?v=ZumVEWN8Ito) | [bilibili](https://www.bilibili.com/video/BV1vv41177oc/)
论文/paper：http://ci.idm.pku.edu.cn/CVPR21c.pdf
代码/code：None
:heavy_check_mark: **Robust Reflection Removal with Reflection-free Flash-only Cues**
解读：[CVPR 2021 | 港科大：如何利用闪光图像(flash image)来去除反光？](https://zhuanlan.zhihu.com/p/358337679)
论文/paper：https://arxiv.org/pdf/2103.04273
代码/code：https://github.com/ChenyangLEI/flash-reflection-removal
[返回目录/back](#Contents)
<a name="LaneDetection"></a>
## 车道线检测/Lane Detection
:heavy_check_mark:**Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection**
视频/demo：[youtube](https://www.youtube.com/watch?v=ghs93acwkBQ)
论文/paper：https://arxiv.org/abs/2010.12035
代码/code：https://github.com/lucastabelini/LaneATT
:heavy_check_mark:**Focus on Local: Detecting Lane Marker from Bottom Up via Key Point**
论文/paper：https://arxiv.org/abs/2105.13680
代码/code：None
[返回目录/back](#Contents)
<a name="FluidReconstruction"></a>
## 流体重建/Fluid Reconstruction
:heavy_check_mark:**Global Transport for Fluid Reconstruction with Learned Self-Supervision**
视频/demo：[youtube](https://www.youtube.com/watch?v=h-JhMqcuOQA)
论文/paper：https://arxiv.org/abs/2104.06031 | [主页 | Homepage](https://ge.in.tum.de/publications/2021-franz-globtrans/)
代码/code：https://github.com/tum-pbs/Global-Flow-Transport
[返回目录/back](#Contents)
<a name="FrameInterpolation"></a>
## 视频插帧/Frame Interpolation
:heavy_check_mark:**CDFI: Compression-Driven Network Design for Frame Interpolation**
视频demo：[youtube](https://www.youtube.com/watch?v=KEUcw4xoB5E)
论文/paper：https://arxiv.org/abs/2103.10559
代码/code： https://github.com/tding1/CDFI
:heavy_check_mark:**Deep Animation Video Interpolation in the Wild**
论文/paper：https://arxiv.org/abs/2104.02495
代码/code：https://github.com/lisiyao21/AnimeInterp/
:heavy_check_mark:**FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation**
视频demo：[youtube](https://www.youtube.com/watch?v=TcQd0LCLCzo)
论文/paper：https://arxiv.org/abs/2012.08512 | [主页 | Homepage](https://tarun005.github.io/FLAVR/)
代码/code：https://github.com/tarun005/FLAVR
[返回目录/back](#Contents)
<a name="3DPointCloud"></a>
## 3D点云/3D point cloud
:heavy_check_mark:**3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding**
论文/paper： https://arxiv.org/abs/2103.16397
代码/code：https://github.com/Gorilla-Lab-SCUT/AffordanceNet
[返回目录/back](#Contents)
<a name="Label-Noise"></a>
# 标签噪声 Label-Noise
:heavy_check_mark:**A Second-Order Approach to Learning with Instance-Dependent Label Noise** (CVPR 2021 Oral)
论文/paper： https://arxiv.org/abs/2012.11854
代码/code：https://github.com/UCSC-REAL/CAL
[返回目录/back](#Contents)
<a name="AdversarialExamples"></a>
# 对抗样本 / Adversarial Examples
:heavy_check_mark:**Enhancing the Transferability of Adversarial Attacks through Variance Tuning**
论文/paper： https://arxiv.org/abs/2103.15571
代码/code：https://github.com/JHL-HUST/VT
:heavy_check_mark:**LiBRe: A Practical Bayesian Approach to Adversarial Detection**
论文/paper： https://arxiv.org/abs/2103.14835
代码/code：None
:heavy_check_mark:**Natural Adversarial Examples**
论文/paper： https://arxiv.org/abs/1907.07174
代码/code：https://github.com/hendrycks/natural-adv-examples
[返回目录/back](#Contents)
<a name="Other"></a>
### 其他/Other
:heavy_check_mark:**Domain Consensus Clustering for Universal Domain Adaptation**
论文/paper： http://reler.net/papers/guangrui_cvpr2021.pdf
代码/code：https://github.com/Solacex/Domain-Consensus-Clustering
:heavy_check_mark:**Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation**
视频demo：[youtube](https://www.youtube.com/watch?v=lNQQHIggnUg) | [bilibili](https://www.bilibili.com/video/BV1eh411S77C)
论文/paper： | [主页 | Homepage](https://hangz-nju-cuhk.github.io/projects/PC-AVS)
代码/code：https://github.com/Hangz-nju-cuhk/Talking-Face_PC-AVS
[返回目录/back](#Contents)
:heavy_check_mark:**Layout-Guided Novel View Synthesis from a Single Indoor Panorama**
解读：https://www.zhihu.com/question/446299297/answer/1769080299
论文/paper：https://arxiv.org/abs/2103.17022
代码/code：https://github.com/bluestyle97/PNVS
视频demo：
解读：
论文/paper：
代码/code：
参考：
https://github.com/extreme-assistant/CVPR2021-Paper-Code-Interpretation/blob/master/CVPR2021.md
https://github.com/Kobaayyy/Awesome-CVPR2021-CVPR2020-Low-Level-Vision/blob/master/CVPR2021.md
https://github.com/Qingcsai/awesome-Deepfakes
https://github.com/592McAvoy/fake-face-detection
https://githubmemory.com/repo/lkeab/CVPR-2021-Papers
https://github.com/52CV/CVPR-2021-Papers
https://github.com/amusi/CVPR2021-Papers-with-Code
https://github.com/xialeiliu/Awesome-Incremental-Learning
https://www.codetd.com/en/article/12856576
[如何评价CVPR 2021的论文/paper接收结果？](https://www.zhihu.com/question/446299297/answer/1756260197)
https://duoli.org/
https://cv.snu.ac.kr/index.php/publication-international/
https://github.com/bismex/Awesome-person-re-identification#3-CVPR2021
https://github.com/yflv-yanxia/scene_text
https://githubmemory.com/repo/FLHonker/Awesome-Knowledge-Distillation
================================================
FILE: CVPR2022.md
================================================
# CVPR2022-Papers-with-Code-Demo
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<a name="Contents"></a>
### :hammer: **目录 |Table of Contents（点击直接跳转）**
<details open>
<summary> 目录（右侧点击可折叠）</summary>
- [Backbone](#Backbone)
- [数据集/Dataset](#Dataset)
- [NAS](#NAS)
- [Knowledge Distillation](#KnowledgeDistillation)
- [多模态 / Multimodal ](#Multimodal )
- [对比学习/Contrastive Learning](#ContrastiveLearning)
- [图神经网络 / Graph Neural Networks](#GNN)
- [胶囊网络 / Capsule Network](#CapsuleNetwork)
- [图像分类 / Image Classification](#ImageClassification)
- [目标检测/Object Detection](#ObjectDetection)
- [目标跟踪/Object Tracking](#ObjectTracking)
- [轨迹预测/Trajectory Prediction](#TrajectoryPrediction)
- [语义分割/Segmentation](#Segmentation)
- [弱监督语义分割/Weakly Supervised Semantic Segmentation](#WSSS)
- [医学图像分割](#MedicalImageSegmentation)
- [视频目标分割/Video Object Segmentation](#VideoObjectSegmentation)
- [交互式视频目标分割/Interactive Video Object Segmentation](#InteractiveVideoObjectSegmentation)
- [Visual Transformer](#VisualTransformer)
- [深度估计/Depth Estimation](#DepthEstimation)
- [人脸识别/Face Recognition](#FaceRecognition)
- [人脸检测/Face Detection](#FaceDetection)
- [人脸活体检测/Face Anti-Spoofing](#FaceAnti-Spoofing)
- [人脸年龄估计/Age Estimation](#AgeEstimation)
- [人脸表情识别/Facial Expression Recognition](#FacialExpressionRecognition)
- [人脸属性识别/Facial Attribute Recognition](#FacialAttributeRecognition)
- [人脸编辑/Facial Editing](#FacialEditing)
- [换脸/Face Swap](#FaceSwap)
- [人体姿态估计/Human Pose Estimation](#HumanPoseEstimation)
- [6D位姿估计 /6D Pose Estimation](#6DPoseEstimation)
- [手势姿态估计（重建）/Hand Pose Estimation( Hand Mesh Recovery)](#HandPoseEstimation)
- [视频动作检测/Video Action Detection](#VideoActionDetection)
- [手语翻译/Sign Language Translation](#SignLanguageTranslation)
- [3D人体重建](#3D人体重建)
- [行人重识别/Person Re-identification](#PersonRe-identification)
- [行人搜索/Person Search](#PersonSearch)
- [人群计数 / Crowd Counting](#CrowdCounting)
- [GAN](#GAN)
- [彩妆迁移 / Color-Pattern Makeup Transfer](#CPM)
- [字体生成 / Font Generation](#FontGeneration)
- [场景文本检测、识别/Scene Text Detection/Recognition](#OCR)
- [图像、视频检索 / Image Retrieval/Video retrieval](#Retrieval)
- [Image Animation](#ImageAnimation)
- [抠图/Image Matting](#ImageMatting)
- [超分辨率/Super Resolution](#SuperResolution)
- [图像复原/Image Restoration](#ImageRestoration)
- [图像补全/Image Inpainting](#ImageInpainting)
- [图像去噪/Image Denoising](#ImageDenoising)
- [图像编辑/Image Editing](#ImageEditing)
- [图像拼接/Image stitching](#Imagestitching)
- [图像匹配/Image Matching](#ImageMatching)
- [图像融合/Image Blending](#ImageBlending)
- [图像去雾/Image Dehazing](#ImageDehazing)
- [图像压缩/Image Compression](#ImageCompression)
- [反光去除/Reflection Removal](#ReflectionRemoval)
- [车道线检测/Lane Detection](#LaneDetection)
- [自动驾驶 / Autonomous Driving](#AutonomousDriving)
- [流体重建/Fluid Reconstruction](#FluidReconstruction)
- [场景重建 / Scene Reconstruction](#SceneReconstruction)
- [视频插帧/Frame Interpolation](#FrameInterpolation)
- [视频超分 / Video Super-Resolution](#VideoSuper-Resolution)
- [ 3D点云/3D point cloud]( #3DPointCloud)
- [标签噪声 / Label-Noise](#Label-Noise)
- [对抗样本/Adversarial Examples](#AdversarialExamples)
- [其他/Other](#Other)
</details>
<a name="Backbone"></a>
## Backbone
[返回目录/back](#Contents)
<a name="Dataset"></a>
## 数据集/Dataset
**3MASSIV: Multilingual, Multimodal and Multi-Aspect dataset of Social Media Short Videos**
- 论文/Paper: http://arxiv.org/abs/2203.14456
- 代码/Code: None
**Assembly101: A Large-Scale Multi-View Video Dataset for Understanding Procedural Activities**
- 论文/Paper: http://arxiv.org/abs/2203.14712
- 代码/Code: None
**DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation**
- 论文/Paper: http://arxiv.org/abs/2203.12560
- 代码/Code: https://mediatum.ub.tum.de/1650201
**Dataset Distillation by Matching Training Trajectories**
- 论文/Paper: http://arxiv.org/abs/2203.11932
- 代码/Code: https://github.com/GeorgeCazenavette/mtt-distillation
**FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos**
- 论文/Paper：https://arxiv.org/abs/2203.09463
- 代码/Code：
**GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive Recognition of Cereal Grains**
- 论文/Paper：https://arxiv.org/abs/2203.05306
- 代码/Code：https://github.com/hellodfan/GrainSpace
**STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes**
论文/Paper: http://arxiv.org/pdf/2204.01026
代码/Code: https://github.com/4dvlab/stcrowd
**ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer**
- 论文/Paper: http://arxiv.org/pdf/2204.02389
- 代码/Code: None
**BEHAVE: Dataset and Method for Tracking Human Object Interactions**
- 论文/Paper: http://arxiv.org/pdf/2204.06950
- 代码/Code: None
**SoccerNet-Tracking: Multiple Object Tracking Dataset and Benchmark in Soccer Videos**
- 论文/Paper: http://arxiv.org/pdf/2204.06918
- 代码/Code: None
**Hephaestus: A large scale multitask dataset towards InSAR understanding**
- 论文/Paper: http://arxiv.org/pdf/2204.09435
- 代码/Code: None
**A New Dataset and Transformer for Stereoscopic Video Super-Resolution**
- 论文/Paper: http://arxiv.org/pdf/2204.10039
- 代码/Code: https://github.com/H-deep/Trans-SVSR/
[返回目录/back](#Contents)
<a name="NAS"></a>
## NAS
**Optimizing Elimination Templates by Greedy Parameter Search**
- 论文/Paper: http://arxiv.org/abs/2203.14901
- 代码/Code: None
**Searching for Network Width with Bilaterally Coupled Network**
- 论文/Paper: http://arxiv.org/pdf/2203.13714
- 代码/Code: None
**Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search**
- 论文/Paper: http://arxiv.org/pdf/2204.05941
- 代码/Code: None
[返回目录/back](#Contents)
<a name="KnowledgeDistillation"></a>
## Knowledge Distillation
**Decoupled Knowledge Distillation**
- 论文/Paper：https://arxiv.org/abs/2203.08679
- 代码/Code：https://github.com/megvii-research/mdistiller
**Knowledge Distillation with the Reused Teacher Classifier**
- 论文/Paper: http://arxiv.org/abs/2203.14001
- 代码/Code: None
[返回目录/back](#Contents)
<a name="Multimodal"></a>
## 多模态 / Multimodal
**Balanced Multimodal Learning via On-the-fly Gradient Modulation**
- 论文/Paper: http://arxiv.org/pdf/2203.15332
- 代码/Code: None
**Conditional Prompt Learning for Vision-Language Models**
- 论文/Paper：https://arxiv.org/abs/2203.05557
- 代码/Code：https://github.com/KaiyangZhou/CoOp
**Learning Hierarchical Cross-Modal Association for Co-Speech Gesture Generation**
- 论文/Paper: http://arxiv.org/abs/2203.13161
- 代码/Code: None
**Motron: Multimodal Probabilistic Human Motion Forecasting**
- 论文/Paper：https://arxiv.org/abs/2203.04132
- 代码/Code：
**StyleT2I: Toward Compositional and High-Fidelity Text-to-Image Synthesis**
- 论文/Paper: http://arxiv.org/pdf/2203.15799
- 代码/Code: https://github.com/zhihengli-UR/StyleT2I
**Text2Pos: Text-to-Point-Cloud Cross-Modal Localization**
- 论文/Paper: http://arxiv.org/pdf/2203.15125
- 代码/Code: None
**Towards Implicit Text-Guided 3D Shape Generation**
- 论文/Paper: http://arxiv.org/abs/2203.14622
- 代码/Code: None
**UMT: Unified Multi-modal Transformers for Joint Video Moment Retrieval and Highlight Detection**
- 论文/Paper: http://arxiv.org/abs/2203.12745
- 代码/Code: None
**Versatile Multi-Modal Pre-Training for Human-Centric Perception**
- 论文/Paper: http://arxiv.org/pdf/2203.13815
- 代码/Code: None
**X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval**
- 论文/Paper: http://arxiv.org/pdf/2203.15086
- 代码/Code: https://github.com/layer6ai-labs/xpool
**ViSTA: Vision and Scene Text Aggregation for Cross-Modal Retrieval**
- 论文/Paper: http://arxiv.org/pdf/2203.16778
- 代码/Code: None
**STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes**
- 论文/Paper: http://arxiv.org/pdf/2204.01026
- 代码/Code: https://github.com/4dvlab/stcrowd
**XMP-Font: Self-Supervised Cross-Modality Pre-training for Few-Shot Font Generation**
- 论文/Paper: http://arxiv.org/pdf/2204.05084
- 代码/Code: None
**Robust Cross-Modal Representation Learning with Progressive Self-Distillation**
- 论文/Paper: http://arxiv.org/pdf/2204.04588
- 代码/Code: None
**Multimodal Transformer for Nursing Activity Recognition**
- 论文/Paper: http://arxiv.org/pdf/2204.04564
- 代码/Code: https://github.com/Momilijaz96/MMT_for_NCRC
**Probabilistic Compositional Embeddings for Multimodal Image Retrieval**
- 论文/Paper: http://arxiv.org/pdf/2204.05845
- 代码/Code: https://github.com/andreineculai/MPC.
**Are Multimodal Transformers Robust to Missing Modality?**
- 论文/Paper: http://arxiv.org/pdf/2204.05454
- 代码/Code: None
**Multimodal Token Fusion for Vision Transformers**
- 论文/Paper: http://arxiv.org/pdf/2204.08721
- 代码/Code: None
**Transformer Decoders with MultiModal Regularization for Cross-Modal Food Retrieval**
- 论文/Paper: http://arxiv.org/pdf/2204.09730
- 代码/Code: https://github.com/mshukor/TFood
**CLIP-Art: Contrastive Pre-training for Fine-Grained Art Classification**
- 论文/Paper: http://arxiv.org/pdf/2204.14244
- 代码/Code: https://github.com/KeremTurgutlu/clip_art
**Vision-Language Pre-Training for Boosting Scene Text Detectors**
- 论文/Paper: http://arxiv.org/pdf/2204.13867
- 代码/Code: None
**Cross-modal Representation Learning for Zero-shot Action Recognition**
- 论文/Paper: http://arxiv.org/pdf/2205.01657
- 代码/Code: None
**Episodic Memory Question Answering**
- 论文/Paper: http://arxiv.org/pdf/2205.01652
- 代码/Code: None
[返回目录/back](#Contents)
<a name="ContrastiveLearning"></a>
## Contrastive Learning
**Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2203.13505
- 代码/Code: None
**ContrastMask: Contrastive Learning to Segment Every Thing**
- 论文/Paper: http://arxiv.org/pdf/2203.09775
- 代码/Code: None
**Fair Contrastive Learning for Facial Attribute Classification**
- 论文/Paper: http://arxiv.org/pdf/2203.16209
- 代码/Code: https://github.com/sungho-coolg/fscl
**Frame-wise Action Representations for Long Videos via Sequence Contrastive Learning**
- 论文/Paper: http://arxiv.org/abs/2203.14957
- 代码/Code: None
**Rethinking Minimal Sufficient Representation in Contrastive Learning**
- 论文/Paper：https://arxiv.org/abs/2203.07004
- 代码/Code：https://github.com/Haoqing-Wang/InfoCL
**Selective-Supervised Contrastive Learning with Noisy Labels**
- 论文/Paper：https://arxiv.org/abs/2203.04181
- 代码/Code：https://github.com/ShikunLi/Sel-CL
**Unsupervised Deraining: Where Contrastive Learning Meets Self-similarity**
- 论文/Paper: http://arxiv.org/abs/2203.11509
- 代码/Code: None
**Fine-grained Temporal Contrastive Learning for Weakly-supervised Temporal Action Localization**
- 论文/Paper: http://arxiv.org/pdf/2203.16800
- 代码/Code: https://github.com/MengyuanChen21/CVPR2022-FTCL
**Unified Contrastive Learning in Image-Text-Label Space**
- 论文/Paper: http://arxiv.org/pdf/2204.03610
- 代码/Code: https://github.com/microsoft/unicl
**Probabilistic Representations for Video Contrastive Learning**
- 论文/Paper: http://arxiv.org/abs/2204.03946
- 代码/Code: None
**Use All The Labels: A Hierarchical Multi-Label Contrastive Learning Framework**
- 论文/Paper: http://arxiv.org/pdf/2204.13207
- 代码/Code: https://github.com/salesforce/hierarchicalContrastiveLearning.
**UTC: A Unified Transformer with Inter-Task Contrastive Learning for Visual Dialog**
- 论文/Paper: http://arxiv.org/pdf/2205.00423
- 代码/Code: None
[返回目录/back](#Contents)
<a name="GNN"></a>
## 图神经网络 / Graph Neural Networks
**Lifelong Graph Learning**
- 论文/paper：https://arxiv.org/abs/2009.00647
- 代码/code：https://github.com/wang-chen/LGL
**Long-term Visual Map Sparsification with Heterogeneous GNN**
- 论文/Paper: http://arxiv.org/pdf/2203.15182
- 代码/Code: None
**SkinningNet: Two-Stream Graph Convolutional Neural Network for Skinning Prediction of Synthetic Characters**
- 论文/paper：https://arxiv.org/abs/2203.04746
- 代码/code：https://imatge-upc.github.io/skinningnet/
[返回目录/back](#Contents)
<a name="CapsuleNetwork"></a>
# 胶囊网络 / Capsule Network
**HP-Capsule: Unsupervised Face Part Discovery by Hierarchical Parsing Capsule Network**
- 论文/Paper: http://arxiv.org/abs/2203.10699
- 代码/Code: None
[返回目录/back](#Contents)
<a name="ImageClassification"></a>
# 图像分类 / Image Classification
**CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification**
- 论文/Paper: http://arxiv.org/pdf/2203.13465
- 代码/Code: None
**Integrative Few-Shot Learning for Classification and Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2203.15712
- 代码/Code: None
**Matching Feature Sets for Few-Shot Image Classification**
- 论文/Paper: http://arxiv.org/pdf/2204.00949
- 代码/Code: None
**Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification**
- 论文/Paper: http://arxiv.org/pdf/2204.04567
- 代码/Code: None
**Regression or Classification? Reflection on BP prediction from PPG data using Deep Neural Networks in the scope of practical applications**
- 论文/Paper: http://arxiv.org/pdf/2204.05605
- 代码/Code: None
**Revisiting Vicinal Risk Minimization for Partially Supervised Multi-Label Classification Under Data Scarcity**
- 论文/Paper: http://arxiv.org/pdf/2204.08954
- 代码/Code: None
**Self-supervised Learning for Sonar Image Classification**
- 论文/Paper: http://arxiv.org/pdf/2204.09323
- 代码/Code: https://github.com/agrija9/ssl-sonar-images
**Generating Representative Samples for Few-Shot Classification**
- 论文/Paper: http://arxiv.org/pdf/2205.02918
- 代码/Code: https://github.com/cvlab-stonybrook/fsl-rsvae.
[返回目录/back](#Contents)
<a name="ObjectDetection"></a>
## 目标检测/Object Detection
**A Dual Weighting Label Assignment Scheme for Object Detection**
- 论文/Paper: http://arxiv.org/pdf/2203.09730
- 代码/Code: https://github.com/strongwolf/dw
**Implicit Motion Handling for Video Camouflaged Object Detection**
- 论文/Paper：https://arxiv.org/abs/2203.07363
- 代码/Code：
**Democracy Does Matter: Comprehensive Feature Mining for Co-Salient Object Detection**
- 论文/Paper：https://arxiv.org/abs/2203.05787
- 代码/Code：
**DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection**
- 论文/Paper：https://arxiv.org/abs/2203.08195
- 代码/Code：https://github.com/tensorflow/lingvo/tree/master/lingvo/
**Efficient Two-Stage Detection of Human-Object Interactions with a Novel Unary-Pairwise Transformer**
- 论文/paper：https://arxiv.org/abs/2112.01838 | [主页](https://fredzzhang.com/unary-pairwise-transformers/)
- 代码/code：https://github.com/fredzzhang/upt
**Expanding Low-Density Latent Regions for Open-Set Object Detection**
- 论文/Paper: http://arxiv.org/abs/2203.14911
- 代码/Code: None
**Ev-TTA: Test-Time Adaptation for Event-Based Object Recognition**
- 论文/Paper: http://arxiv.org/abs/2203.12247
- 代码/Code: None
**Canonical Voting: Towards Robust Oriented Bounding Box Detection in 3D Scenes**
- 论文/paper：https://arxiv.org/abs/2011.12001
- 代码/code：https://github.com/qq456cvb/CanonicalVoting
**Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label Enhancement**
- 论文/Paper：https://arxiv.org/abs/2203.05238
- 代码/Code：https://github.com/xuxw98/BackToReality
**LiDAR Snowfall Simulation for Robust 3D Object Detection**
- 论文/Paper: http://arxiv.org/pdf/2203.15118
- 代码/Code: None
**Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model**
- 论文/Paper: http://arxiv.org/abs/2203.14940
- 代码/Code: None
**Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability**
- 论文/Paper：https://arxiv.org/abs/2203.05180
- 代码/Code：https://github.com/CVMI-Lab/KDEP
**Optimal Correction Cost for Object Detection Evaluation**
- 论文/Paper: http://arxiv.org/abs/2203.14438
- 代码/Code: None
**Point2Seq: Detecting 3D Objects as Sequences**
- 论文/Paper: http://arxiv.org/pdf/2203.13394
- 代码/Code: None
**Point Density-Aware Voxels for LiDAR 3D Object Detection**
- 论文/Paper：https://arxiv.org/abs/2203.05662
- 代码/Code：https://github.com/TRAILab/PDV
**MonoJSG: Joint Semantic and Geometric Cost Volume for Monocular 3D Object Detection**
- 论文/Paper：https://arxiv.org/abs/2203.08563
- 代码/Code：
**MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer**
- 论文/Paper: http://arxiv.org/abs/2203.10981
- 代码/Code: None
**MonoDETR: Depth-aware Transformer for Monocular 3D Object Detection**
- 论文/Paper: http://arxiv.org/pdf/2203.13310
**Real-time Object Detection for Streaming Perception**
- 论文/Paper: http://arxiv.org/abs/2203.12338
- 代码/Code: https://github.com/yancie-yjr/StreamYOLO
**SIOD: Single Instance Annotated Per Category Per Image for Object Detection**
- 论文/Paper: http://arxiv.org/pdf/2203.15353
- 代码/Code: None
**SIGMA: Semantic-complete Graph Matching for Domain Adaptive Object Detection**
- 论文/Paper：https://arxiv.org/abs/2203.06398
- 代码/Code：https://github.com/CityU-AIM-Group/SIGMA
**Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion**
- 论文/Paper: http://arxiv.org/pdf/2203.09780
- 代码/Code: None
**Task-specific Inconsistency Alignment for Domain Adaptive Object Detection**
- 论文/Paper: http://arxiv.org/pdf/2203.15345
- 代码/Code: None
**TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers**
- 论文/Paper: http://arxiv.org/abs/2203.11496
- 代码/Code: https://github.com/XuyangBai/TransFusion
**VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial Attention**
- 论文/Paper: http://arxiv.org/pdf/2203.09704
- 代码/Code: https://github.com/gorilla-lab-scut/vista
**Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds**
- 论文/Paper: http://arxiv.org/abs/2203.10314
- 代码/Code: None
**Rope3D: TheRoadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task**
- 论文/Paper: http://arxiv.org/pdf/2203.13608
- 代码/Code: None
**Understanding 3D Object Articulation in Internet Videos**
- 论文/Paper: http://arxiv.org/pdf/2203.16531
- 代码/Code: None
**AdaMixer: A Fast-Converging Query-Based Object Detector**
- 论文/Paper: http://arxiv.org/pdf/2203.16507
- 代码/Code: https://github.com/mcg-nju/adamixer
**Forecasting from LiDAR via Future Object Detection**
- 论文/Paper: http://arxiv.org/pdf/2203.16297
- 代码/Code: None
**Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection**
- 论文/Paper: http://arxiv.org/pdf/2203.16220
- 代码/Code: https://github.com/dlut-dimt/tardal
**Learning of Global Objective for Network Flow in Multi-Object Tracking**
- 论文/Paper: http://arxiv.org/pdf/2203.16210
- 代码/Code: None
**FLOAT: Factorized Learning of Object Attributes for Improved Multi-object Multi-part Scene Parsing**
- 论文/Paper: http://arxiv.org/pdf/2203.16168
- 代码/Code: None
**Omni-DETR: Omni-Supervised Object Detection with Transformers**
- 论文/Paper: http://arxiv.org/pdf/2203.16089
- 代码/Code: None
**Learning to Detect Mobile Objects from LiDAR Scans Without Labels**
- 论文/Paper: http://arxiv.org/pdf/2203.15882
- 代码/Code: https://github.com/yurongyou/modest
**Multi-Granularity Alignment Domain Adaptation for Object Detection**
- 论文/Paper: http://arxiv.org/pdf/2203.16897
- 代码/Code: None
**CAT-Det: Contrastively Augmented Transformer for Multi-modal 3D Object Detection**
- 论文/Paper: http://arxiv.org/pdf/2204.00325
- 代码/Code: None
**R(Det)^2: Randomized Decision Routing for Object Detection**
- 论文/Paper: http://arxiv.org/pdf/2204.00794
- 代码/Code: None
**Homography Loss for Monocular 3D Object Detection**
- 论文/Paper: http://arxiv.org/pdf/2204.00754
- 代码/Code: https://github.com/gujiaqivadin/HomographyLoss
**Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation**
- 论文/Paper: http://arxiv.org/pdf/2204.02136
- 代码/Code: None
**Towards Robust Adaptive Object Detection under Noisy Annotations**
- 论文/Paper: http://arxiv.org/pdf/2204.02620
- 代码/Code: None
**Towards Open-Set Object Detection and Discovery**
- 论文/Paper: http://arxiv.org/pdf/2204.05604
- 代码/Code: None
**DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection**
- 论文/Paper: http://arxiv.org/pdf/2204.05575
- 代码/Code: https://github.com/AIR-THU/DAIR-V2X.
**HyperDet3D: Learning a Scene-conditioned 3D Object Detector**
- 论文/Paper: http://arxiv.org/pdf/2204.05599
- 代码/Code: None
**Dense Learning based Semi-Supervised Object Detection**
- 论文/Paper: http://arxiv.org/pdf/2204.07300
- 代码/Code: https://github.com/chenbinghui1/DSL
**Entropy-based Active Learning for Object Detection with Progressive Diversity Constraint**
- 论文/Paper: http://arxiv.org/pdf/2204.07965
- 代码/Code: None
**Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection**
- 论文/Paper: http://arxiv.org/pdf/2204.07964
- 代码/Code: None
**Modeling Missing Annotations for Incremental Learning in Object Detection**
- 论文/Paper: http://arxiv.org/pdf/2204.08766
- 代码/Code: https://github.com/fcdl94/MMA
**Augmentation of Atmospheric Turbulence Effects on Thermal Adapted Object Detection Models**
- 论文/Paper: http://arxiv.org/pdf/2204.08745
- 代码/Code: None
**Focal Sparse Convolutional Networks for 3D Object Detection**
- 论文/Paper: http://arxiv.org/abs/2204.12463
- 代码/Code: http://github.com/dvlab-research/FocalsConv
**Rotationally Equivariant 3D Object Detection**
- 论文/Paper: http://arxiv.org/pdf/2204.13630
- 代码/Code: None
**Cross Domain Object Detection by Target-Perceived Dual Branch Distillation**
- 论文/Paper: http://arxiv.org/pdf/2205.01291
- 代码/Code: https://github.com/feobi1999/tdd
**Dynamic Sparse R-CNN**
- 论文/Paper: http://arxiv.org/pdf/2205.02101
- 代码/Code: None
[返回目录/back](#Contents)
<a name="ObjectTracking"></a>
## 目标跟踪/Object Tracking
**DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion**
- 论文/Paper：https://arxiv.org/abs/2111.14690
- 代码/Code：https://github.com/DanceTrack/DanceTrack
**Global Tracking Transformers**
- 论文/Paper: http://arxiv.org/abs/2203.13250
- 代码/Code: None
**MixFormer: End-to-End Tracking with Iterative Mixed Attention**
- 论文/Paper: http://arxiv.org/abs/2203.11082
- 代码/Code: None
**Transforming Model Prediction for Tracking**
- 论文/Paper: http://arxiv.org/abs/2203.11192
- 代码/Code: None
**TCTrack: Temporal Contexts for Aerial Tracking**
- 论文/Paper：https://arxiv.org/abs/2203.01885
- 代码/Code：https://github.com/vision4robotics/TCTrack
**Unified Transformer Tracker for Object Tracking**
- 论文/Paper: http://arxiv.org/pdf/2203.15175
- 代码/Code: None
**Learning of Global Objective for Network Flow in Multi-Object Tracking**
- 论文/Paper: http://arxiv.org/pdf/2203.16210
- 代码/Code: None
**Global Tracking via Ensemble of Local Trackers**
- 论文/Paper: http://arxiv.org/pdf/2203.16092
- 代码/Code: https://github.com/zikunzhou/gtelt
**MeMOT: Multi-Object Tracking with Memory**
- 论文/Paper: http://arxiv.org/pdf/2203.16761
- 代码/Code: None
**Unsupervised Learning of Accurate Siamese Tracking**
- 论文/Paper: http://arxiv.org/pdf/2204.01475
- 代码/Code: https://github.com/florinshum/ulast
**Visible-Thermal UAV Tracking: A Large-Scale Benchmark and New Baseline**
- 论文/Paper: http://arxiv.org/abs/2204.04120
- 代码/Code: None
**BEHAVE: Dataset and Method for Tracking Human Object Interactions**
- 论文/Paper: http://arxiv.org/pdf/2204.06950
- 代码/Code: None
**SoccerNet-Tracking: Multiple Object Tracking Dataset and Benchmark in Soccer Videos**
- 论文/Paper: http://arxiv.org/pdf/2204.06918
- 代码/Code: None
**Detecting, Tracking and Counting Motorcycle Rider Traffic Violations on Unconstrained Roads**
- 论文/Paper: http://arxiv.org/pdf/2204.08364
- 代码/Code: None
# 3D Object Tracking
**Iterative Corresponding Geometry: Fusing Region and Depth for Highly Efficient 3D Tracking of Textureless Objects**
- 视频/Demo：[Youtube](https://www.youtube.com/watch?v=qMr1RHCsnDk)
- 论文/Paper：https://arxiv.org/abs/2203.05334
- 代码/Code：https://github.com/DLR-RM/3DObjectTracking
**Multi-Camera Multiple 3D Object Tracking on the Move for Autonomous Vehicles**
- 论文/Paper: http://arxiv.org/pdf/2204.09151
- 代码/Code: None
[返回目录/back](#Contents)
<a name="TrajectoryPrediction"></a>
## 轨迹预测/Trajectory Prediction
**How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting**
- 论文/Paper：https://arxiv.org/abs/2203.04781
- 代码/Code：
**Non-Probability Sampling Network for Stochastic Human Trajectory Prediction**
- 论文/Paper: http://arxiv.org/pdf/2203.13471
- 代码/Code: None
**Remember Intentions: Retrospective-Memory-based Trajectory Prediction**
- 论文/Paper: http://arxiv.org/abs/2203.11474
- 代码/Code: None
**Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion**
- 论文/Paper: http://arxiv.org/pdf/2203.13777
- 代码/Code: None
**Goal-driven Self-Attentive Recurrent Networks for Trajectory Prediction**
- 论文/Paper: http://arxiv.org/pdf/2204.11561
- 代码/Code: None
[返回目录/back](#Contents)
<a name="Segmentation"></a>
## 语义分割/Segmentation
**Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2203.09744
- 代码/Code: https://github.com/lslrh/cpsl
**Deep Hierarchical Semantic Segmentation**
- 论文/Paper: http://arxiv.org/abs/2203.14335
- 代码/Code: None
**E2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance Segmentation**
- 论文/Paper：https://arxiv.org/abs/2203.04074
- 代码/Code：https://github.com/zhang-tao-whu/e2ec
**Hyperbolic Image Segmentation**
- 论文/Paper：https://arxiv.org/abs/2203.05898
- 代码/Code：
**Mask Transfiner for High-Quality Instance Segmentation**
- 论文/Paper： https://arxiv.org/abs/2111.13673
- 代码/Code：https://github.com/SysCV/transfiner
**Noisy Boundaries: Lemon or Lemonade for Semi-supervised Instance Segmentation?**
- 论文/Paper: http://arxiv.org/pdf/2203.13427
- 代码/Code: None
**Rethinking Semantic Segmentation: A Prototype View**
- 论文/Paper: http://arxiv.org/pdf/2203.15102
- 代码/Code: None
**Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2203.09653
- 代码/Code: https://github.com/maeve07/rca
**Representation Compensation Networks for Continual Semantic Segmentation**
- 论文/Paper：https://arxiv.org/abs/2203.05402
- 代码/Code：https://github.com/zhangchbin/RCIL
**SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2203.15202
- 代码/Code: None
**Semantic Segmentation by Early Region Proxy**
- 论文/Paper: http://arxiv.org/abs/2203.14043
- 代码/Code: None
**Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels**
- 论文/Paper：https://arxiv.org/abs/2203.03884
- 代码/Code：
**SharpContour: A Contour-based Boundary Refinement Approach for Efficient and Accurate Instance Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2203.13312
- 代码/Code: None
**ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation**
- 论文/paper：https://arxiv.org/abs/2106.05095
- 代码/code：https://github.com/LiheYoung/ST-PlusPlus
**Scribble-Supervised LiDAR Semantic Segmentation**
- 论文/Paper：https://arxiv.org/abs/2203.08537
- 代码/Code：https://github.com/ouenal/scribblekitti
**Sparse Instance Activation for Real-Time Instance Segmentation**
- 论文/Paper: http://arxiv.org/abs/2203.12827
- 代码/Code: None
**Tree Energy Loss: Towards Sparsely Annotated Semantic Segmentation**
- 论文/Paper: http://arxiv.org/abs/2203.10739
- 代码/Code: None
**Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation**
- 论文/Paper: https://arxiv.org/pdf/2111.12940.pdf
- 代码/Code:https://github.com/BIT-DA/RIPU
**Weakly Supervised Semantic Segmentation using Out-of-Distribution Data**
- 论文/Paper：https://arxiv.org/abs/2203.03860
- 代码/Code：None
**ReSTR: Convolution-free Referring Image Segmentation Using Transformers**
- 论文/Paper: http://arxiv.org/pdf/2203.16768
- 代码/Code: None
**FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2204.01587
- 代码/Code: None
**WildNet: Learning Domain Generalized Semantic Segmentation from the Wild**
- 论文/Paper: http://arxiv.org/pdf/2204.01446
- 代码/Code: https://github.com/suhyeonlee/wildnet
**Semantic-Aware Domain Generalized Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2204.00822
- 代码/Code: https://github.com/leolyj/san-saw
**FocalClick: Towards Practical Interactive Image Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2204.02574
- 代码/Code: https://github.com/XavierCHEN34/ClickSEG
**Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2204.02547
- 代码/Code: None
**Pin the Memory: Learning to Generalize Semantic Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2204.03609
- 代码/Code: None
**Coarse-to-Fine Feature Mining for Video Semantic Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2204.03330
- 代码/Code: https://github.com/guoleisun/vss-cffm
**L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2204.03206
- 代码/Code: https://github.com/PengtaoJiang/L2G
**Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2204.04656
- 代码/Code: https://github.com/lxtGH/Video-K-Net
**NightLab: A Dual-level Architecture with Hardness Detection for Segmentation at Night**
- 论文/Paper: http://arxiv.org/pdf/2204.05538
- 代码/Code: None
**TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2204.05525
- 代码/Code: https://github.com/hustvl/TopFormer
**Panoptic, Instance and Semantic Relations: A Relational Context Encoder to Enhance Panoptic Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2204.05370
- 代码/Code: None
**Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity**
- 论文/Paper: http://arxiv.org/pdf/2204.06107
- 代码/Code: None
**Joint Forecasting of Panoptic Segmentations with Difference Attention (Oral)**
- 论文/Paper: http://arxiv.org/pdf/2204.07157
- 代码/Code: None
**Cross-Image Relational Knowledge Distillation for Semantic Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2204.06986
- 代码/Code: https://github.com/winycg/cirkd
**Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation (Oral)**
- 论文/Paper: http://arxiv.org/pdf/2204.07548
- 代码/Code: https://github.com/drprojects/DeepViewAgg
**Temporally Efficient Vision Transformer for Video Instance Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2204.08412
- 代码/Code: https://github.com/hustvl/TeViT.
**Augmentation Invariance and Adaptive Sampling in Semantic Segmentation of Agricultural Aerial Images**
- 论文/Paper: http://arxiv.org/pdf/2204.07969
- 代码/Code: None
**Dual-Domain Image Synthesis using Segmentation-Guided GAN**
- 论文/Paper: http://arxiv.org/pdf/2204.09015
- 代码/Code: https://github.com/denabazazian/Dual-Domain-Synthesis.
**Proposal-free Lidar Panoptic Segmentation with Pillar-level Affinity**
- 论文/Paper: http://arxiv.org/pdf/2204.08744
- 代码/Code: None
**Unsupervised Domain Adaptation for Cardiac Segmentation: Towards Structure Mutual Information Maximization**
- 论文/Paper: http://arxiv.org/pdf/2204.09334
- 代码/Code: https://github.com/LOUEY233/Toward-Mutual-Information}{https://github.com/LOUEY233/Toward-Mutual-Information
**Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2204.10638
- 代码/Code: None
**Interactive Segmentation and Visualization for Tiny Objects in Multi-megapixel Images**
- 论文/Paper: http://arxiv.org/pdf/2204.10356
- 代码/Code: https://github.com/cy-xu/cosmic-conn
**Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2204.11667
- 代码/Code: None
**Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers**
- 论文/Paper: http://arxiv.org/pdf/2204.11432
- 代码/Code: https://github.com/twke18/HSG
**Transfer Learning from Synthetic In-vitro Soybean Pods Dataset for In-situ Segmentation of On-branch Soybean Pod**
- 论文/Paper: http://arxiv.org/pdf/2204.10902
- 代码/Code: None
**DArch: Dental Arch Prior-assisted 3D Tooth Instance Segmentation**
- 论文/Paper: http://arxiv.org/abs/2204.11911
- 代码/Code: None
**Self-Supervised Learning of Object Parts for Semantic Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2204.13101
- 代码/Code: None
**MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2204.12667
- 代码/Code: None
**Cross-view Transformers for real-time Map-view Semantic Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2205.02833
- 代码/Code: https://github.com/bradyz/cross_view_transformers
[返回目录/back](#Contents)
<a name="WSSS"></a>
## 弱监督语义分割/Weakly Supervised Semantic Segmentation
[返回目录/back](#Contents)
<a name="MedicalImageSegmentation"></a>
# 医学图像分割/Medical Image Segmentation
[返回目录/back](#Contents)
<a name="VideoObjectSegmentation"></a>
# 视频目标分割/Video Object Segmentation
**Language as Queries for Referring Video Object Segmentation**
- 论文/paper：https://arxiv.org/abs/2201.00487
- 代码/code：https://github.com/wjn922/ReferFormer
[返回目录/back](#Contents)
<a name="InteractiveVideoObjectSegmentation"></a>
# 交互式视频目标分割/Interactive Video Object Segmentation
**MSTR: Multi-Scale Transformer for End-to-End Human-Object Interaction Detection**
- 论文/Paper: http://arxiv.org/abs/2203.14709
- 代码/Code: None
**OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object Interaction**
- 论文/Paper: http://arxiv.org/pdf/2203.15709
- 代码/Code: None
**What to look at and where: Semantic and Spatial Refined Transformer for detecting human-object interactions**
- 论文/Paper: http://arxiv.org/pdf/2204.00746
- 代码/Code: None
[返回目录/back](#Contents)
<a name="VisualTransformer"></a>
# Visual Transformer
**Affine Medical Image Registration with Coarse-to-Fine Vision Transformer**
- 论文/Paper: http://arxiv.org/pdf/2203.15216
- 代码/Code: https://github.com/cwmok/C2FViT
**Automated Progressive Learning for Efficient Training of Vision Transformers**
- 论文/Paper: http://arxiv.org/abs/2203.14509
- 代码/Code: None
**Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning**
- 论文/Paper：https://arxiv.org/abs/2203.09064
- 代码/Code：https://github.com/StomachCold/HCTransformers
**Cascade Transformers for End-to-End Person Search**
- 论文/Paper: http://arxiv.org/pdf/2203.09642
- 代码/Code: https://github.com/kitware/coat
**EDTER: Edge Detection with Transformer**
- 论文/Paper：https://arxiv.org/abs/2203.08566
- 代码/Code：
**Few-Shot Object Detection with Fully Cross-Transformer**
- 论文/Paper: http://arxiv.org/pdf/2203.15021
- 代码/Code: None
**Global Tracking Transformers**
- 论文/Paper: http://arxiv.org/abs/2203.13250
- 代码/Code: None
**GradViT: Gradient Inversion of Vision Transformers**
- 论文/Paper: http://arxiv.org/abs/2203.11894
- 代码/Code: https://gradvit.github.io/
**Hyperbolic Vision Transformers: Combining Improvements in Metric Learning**
- 论文/Paper: http://arxiv.org/abs/2203.10833
- 代码/Code: None
**Meta-attention for ViT-backed Continual Learning**
- 论文/Paper: http://arxiv.org/abs/2203.11684
- 代码/Code: None
**MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation**
- 论文/Paper: https://arxiv.org/pdf/2111.12707.pdf
- 代码/Code: https://github.com/Vegetebird/MHFormer
**Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut**
- 论文/Paper：https://arxiv.org/abs/2202.11539 | [主页](https://www.m-psi.fr/Papers/TokenCut2022/)
- 代码/Code：https://github.com/YangtaoWANG95/TokenCut
**Training-free Transformer Architecture Search**
- 论文/Paper: http://arxiv.org/abs/2203.12217
- 代码/Code: None
**Towards Practical Certifiable Patch Defense with Vision Transformer**
- 论文/Paper：https://arxiv.org/abs/2203.08519
- 代码/Code：
**Towards Robust Vision Transformer**
- 论文/Paper: https://arxiv.org/abs/2105.07926
- 代码/Code: https://github.com/vtddggg/Robust-Vision-Transformer
**Collaborative Transformers for Grounded Situation Recognition**
- 论文/Paper: http://arxiv.org/pdf/2203.16518
- 代码/Code: https://github.com/jhcho99/coformer
**TubeDETR: Spatio-Temporal Video Grounding with Transformers**
- 论文/Paper: http://arxiv.org/pdf/2203.16434
- 代码/Code: https://github.com/antoyang/TubeDETR
**InstaFormer: Instance-Aware Image-to-Image Translation with Transformer**
- 论文/Paper: http://arxiv.org/pdf/2203.16248
- 代码/Code: None
**Spatial-Temporal Parallel Transformer for Arm-Hand Dynamic Estimation**
- 论文/Paper: http://arxiv.org/pdf/2203.16202
- 代码/Code: None
**Omni-DETR: Omni-Supervised Object Detection with Transformers**
- 论文/Paper: http://arxiv.org/pdf/2203.16089
- 代码/Code: None
**TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing**
- 论文/Paper: http://arxiv.org/pdf/2203.17266
- 代码/Code: https://github.com/BillyXYB/TransEditor
**VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language Transformers**
- 论文/Paper: http://arxiv.org/pdf/2203.17247
- 代码/Code: None
**CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow**
- 论文/Paper: http://arxiv.org/pdf/2203.16896
- 代码/Code: None
**Deformable Video Transformer**
- 论文/Paper: http://arxiv.org/pdf/2203.16795
- 代码/Code: None
**ReSTR: Convolution-free Referring Image Segmentation Using Transformers**
- 论文/Paper: http://arxiv.org/pdf/2203.16768
- 代码/Code: None
**TransRAC: Encoding Multi-scale Temporal Correlation with Transformers for Repetitive Action Counting**
- 论文/Paper: http://arxiv.org/pdf/2204.01018
- 代码/Code: https://github.com/sviprepetitioncounting/transrac
**Consistency driven Sequential Transformers Attention Model for Partially Observable Scenes**
- 论文/Paper: http://arxiv.org/pdf/2204.00656
- 代码/Code: None
**Multi-View Transformer for 3D Visual Grounding**
- 论文/Paper: http://arxiv.org/pdf/2204.02174
- 代码/Code: None
**Dual-AI: Dual-path Action Interaction Learning for Group Activity Recognition**
- 论文/Paper: http://arxiv.org/pdf/2204.02148
- 代码/Code: None
**Detector-Free Weakly Supervised Group Activity Recognition**
- 论文/Paper: http://arxiv.org/pdf/2204.02139
- 代码/Code: None
**Text Spotting Transformers**
- 论文/Paper: http://arxiv.org/pdf/2204.01918
- 代码/Code: None
**PSTR: End-to-End One-Step Person Search With Transformers**
- 论文/Paper: http://arxiv.org/pdf/2204.03340
- 代码/Code: https://github.com/jialecao001/pstr
**Consistency Learning via Decoding Path Augmentation for Transformers in Human Object Interaction Detection**
- 论文/Paper: http://arxiv.org/pdf/2204.04836
- 代码/Code: https://github.com/mlvlab/CPChoi.
**Multimodal Transformer for Nursing Activity Recognition**
- 论文/Paper: http://arxiv.org/pdf/2204.04564
- 代码/Code: https://github.com/Momilijaz96/MMT_for_NCRC
**Learning Trajectory-Aware Transformer for Video Super-Resolution**
- 论文/Paper: http://arxiv.org/pdf/2204.04216
- 代码/Code: https://github.com/researchmm/TTVSR
**TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2204.05525
- 代码/Code: https://github.com/hustvl/TopFormer
**Are Multimodal Transformers Robust to Missing Modality?**
- 论文/Paper: http://arxiv.org/pdf/2204.05454
- 代码/Code: None
**MiniViT: Compressing Vision Transformers with Weight Multiplexing**
- 论文/Paper: http://arxiv.org/pdf/2204.07154
- 代码/Code: https://github.com/microsoft/cream
**ViTOL: Vision Transformer for Weakly Supervised Object Localization**
- 论文/Paper: http://arxiv.org/pdf/2204.06772
- 代码/Code: https://github.com/Saurav-31/ViTOL
**Temporally Efficient Vision Transformer for Video Instance Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2204.08412
- 代码/Code: https://github.com/hustvl/TeViT.
**Safe Self-Refinement for Transformer-based Domain Adaptation**
- 论文/Paper: http://arxiv.org/pdf/2204.07683
- 代码/Code: None
**Multi-Frame Self-Supervised Depth with Transformers**
- 论文/Paper: http://arxiv.org/pdf/2204.07616
- 代码/Code: None
**Self-Calibrated Efficient Transformer for Lightweight Super-Resolution**
- 论文/Paper: http://arxiv.org/pdf/2204.08913
- 代码/Code: https://github.com/AlexZou14/SCET.
**Multimodal Token Fusion for Vision Transformers**
- 论文/Paper: http://arxiv.org/pdf/2204.08721
- 代码/Code: None
**Not All Tokens Are Equal: Human-centric Visual Analysis via Token Clustering Transformer (Oral)**
- 论文/Paper: http://arxiv.org/pdf/2204.08680
- 代码/Code: https://github.com/zengwang430521/TCFormer
**NFormer: Robust Person Re-identification with Neighbor Transformer**
- 论文/Paper: http://arxiv.org/pdf/2204.09331
- 代码/Code: https://github.com/haochenheheda/NFormer
**Human-Object Interaction Detection via Disentangled Transformer**
- 论文/Paper: http://arxiv.org/pdf/2204.09290
- 代码/Code: None
**A New Dataset and Transformer for Stereoscopic Video Super-Resolution**
- 论文/Paper: http://arxiv.org/pdf/2204.10039
- 代码/Code: https://github.com/H-deep/Trans-SVSR/
**Transformer Decoders with MultiModal Regularization for Cross-Modal Food Retrieval**
- 论文/Paper: http://arxiv.org/pdf/2204.09730
- 代码/Code: https://github.com/mshukor/TFood
**Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers**
- 论文/Paper: http://arxiv.org/pdf/2204.11432
- 代码/Code: https://github.com/twke18/HSG
**VISTA: Vision Transformer enhanced by U-Net and Image Colorfulness Frame Filtration for Automatic Retail Checkout**
- 论文/Paper: http://arxiv.org/pdf/2204.11024
- 代码/Code: None
**DearKD: Data-Efficient Early Knowledge Distillation for Vision Transformers**
- 论文/Paper: http://arxiv.org/pdf/2204.12997
- 代码/Code: None
**UTC: A Unified Transformer with Inter-Task Contrastive Learning for Visual Dialog**
- 论文/Paper: http://arxiv.org/pdf/2205.00423
- 代码/Code: None
**TransRank: Self-supervised Video Representation Learning via Ranking-based Transformation Recognition**
- 论文/Paper: http://arxiv.org/pdf/2205.02028
- 代码/Code: https://github.com/kennymckormick/TransRank
**Cross-view Transformers for real-time Map-view Semantic Segmentation**
- 论文/Paper: http://arxiv.org/pdf/2205.02833
- 代码/Code: https://github.com/bradyz/cross_view_transformers
[返回目录/back](#Contents)
<a name="DepthEstimation"></a>
## 深度估计/Depth Estimation
**OACC-Net: Occlusion-Aware Cost Constructor for Light Field Depth Estimation**
- 论文/Paper: https://arxiv.org/pdf/2203.01576.pdf
- 代码/Code: https://github.com/YingqianWang/OACC-Net
**P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior**
- 论文/Paper: http://arxiv.org/pdf/2204.02091
- 代码/Code: None
**HiMODE: A Hybrid Monocular Omnidirectional Depth Estimation Model**
- 论文/Paper: http://arxiv.org/pdf/2204.05007
- 代码/Code: None
[返回目录/back](#Contents)
<a name="FaceRecognition"></a>
# 人脸识别/Face Recognition
**Adaface: Quality Adaptive Margin for Face Recognition**
- 论文/Paper: http://arxiv.org/pdf/2204.00964
- 代码/Code: https://github.com/mk-minchul/adaface
**WebFace260M: A Benchmark for Million-Scale Deep Face Recognition**
- 论文/Paper: http://arxiv.org/pdf/2204.10149
- 代码/Code: None
[返回目录/back](#Contents)
<a name="FaceDetection"></a>
# 人脸检测/Face Detection
**Privacy-preserving Online AutoML for Domain-Specific Face Detection**
- 论文/Paper：https://arxiv.org/abs/2203.08399
- 代码/Code：None
**Robust Neonatal Face Detection in Real-world Clinical Settings**
- 论文/Paper: http://arxiv.org/pdf/2204.00655
- 代码/Code: None
[返回目录/back](#Contents)
<a name="FaceAnti-Spoofing"></a>
# 人脸活体检测/Face Anti-Spoofing
**Domain Generalization via Shuffled Style Assembly for Face Anti-Spoofing**
- 论文/Paper: https://arxiv.org/abs/2203.05340
- 代码/Code:
**PatchNet: A Simple Face Anti-Spoofing Framework via Fine-Grained Patch Recognition**
- 论文/Paper: http://arxiv.org/abs/2203.14325
- 代码/Code: None
**Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection**
- 论文/Paper: http://arxiv.org/abs/2203.12208
- 代码/Code: https://github.com/liangchen527/sladd
[返回目录/back](#Contents)
<a name="AgeEstimation"></a>
# 人脸年龄估计/Age Estimation
[返回目录/back](#Contents)
<a name="FacialExpressionRecognition"></a>
# 人脸表情识别/Facial Expression Recognition
**MDAN: Multi-level Dependent Attention Network for Visual Emotion Analysis**
- 论文/Paper: http://arxiv.org/pdf/2203.13443
- 代码/Code: None
**Towards Semi-Supervised Deep Facial Expression Recognition with An Adaptive Confidence Margin**
- 论文/Paper: http://arxiv.org/abs/2203.12341
- 代码/Code: https://github.com/hangyu94/ada-cm
[返回目录/back](#Contents)
<a name="FacialAttributeRecognition"></a>
# 人脸属性识别/Facial Attribute Recognition
**Fair Contrastive Learning for Facial Attribute Classification**
- 论文/Paper: http://arxiv.org/pdf/2203.16209
- 代码/Code: https://github.com/sungho-coolg/fscl
<a name="FacialEditing"></a>
## 人脸编辑/Facial Editing
**TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing**
- 论文/Paper: http://arxiv.org/pdf/2203.17266
- 代码/Code: https://github.com/BillyXYB/TransEditor
**Face Relighting with Geometrically Consistent Shadows**
- 论文/Paper: http://arxiv.org/pdf/2203.16681
- 代码/Code: None
**Escaping Data Scarcity for High-Resolution Heterogeneous Face Hallucination**
- 论文/Paper: http://arxiv.org/pdf/2203.16669
- 代码/Code: None
**EMOCA: Emotion Driven Monocular Face Capture and Animation**
- 论文/Paper: http://arxiv.org/pdf/2204.11312
- 代码/Code: None
[返回目录/back](#Contents)
<a name="FaceSwap"></a>
## 换脸/Face Swap
**High-resolution Face Swapping via Latent Semantics Disentanglement**
- 论文/Paper: http://arxiv.org/pdf/2203.15958
- 代码/Code: None
[返回目录/back](#Contents)
<a name="HumanPoseEstimation"></a>
# 人体姿态估计/Human Pose Estimation
**Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video**
- 论文/Paper：https://arxiv.org/abs/2203.08534
- 代码/Code：https://mps-net.github.io/MPS-Net/
**DiffPoseNet: Direct Differentiable Camera Pose Estimation**
- 论文/Paper: http://arxiv.org/abs/2203.11174
- 代码/Code: None
**EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation**
- 论文/Paper: http://arxiv.org/abs/2203.13254
- 代码/Code: None
**GPV-Pose: Category-level Object Pose Estimation via Geometry-guided Point-wise Voting**
- 论文/Paper：https://arxiv.org/abs/2203.07918
- 代码/Code：
**MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video**
- 论文/Paper：https://arxiv.org/abs/2203.00859
- 代码/Code：https://github.com/JinluZhang1126/MixSTE
**MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation**
- 论文/Paper: https://arxiv.org/pdf/2111.12707.pdf
- 代码/Code: https://github.com/Vegetebird/MHFormer
**OSOP: A Multi-Stage One Shot Object Pose Estimation Framework**
- 论文/Paper: http://arxiv.org/pdf/2203.15533
- 代码/Code: None
**Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation**
- 论文/Paper: http://arxiv.org/pdf/2203.15227
- 代码/Code: None
**PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision**
- 论文/Paper: http://arxiv.org/pdf/2203.15625
- 代码/Code: None
**Ray3D: ray-based 3D human pose estimation for monocular absolute 3D localization**
- 论文/Paper: http://arxiv.org/abs/2203.11471
- 代码/Code: https://github.com/YxZhxn/Ray3D
**Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation**
- 论文/Paper: http://arxiv.org/pdf/2203.15293
- 代码/Code: None
**Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions**
- 论文/Paper: http://arxiv.org/pdf/2203.17234
- 代码/Code: None
**Focal Length and Object Pose Estimation via Render and Compare**
- 论文/Paper: http://arxiv.org/pdf/2204.05145
- 代码/Code: http://github.com/ponimatkin/focalpose
**DGECN: A Depth-Guided Edge Convolutional Network for End-to-End 6D Pose Estimation**
- 论文/Paper: http://arxiv.org/pdf/2204.09983
- 代码/Code: None
**Coupled Iterative Refinement for 6D Multi-Object Pose Estimation**
- 论文/Paper: http://arxiv.org/pdf/2204.12516
- 代码/Code: https://github.com/princeton-vl/Coupled-Iterative-Refinement.
[返回目录/back](#Contents)
<a name="6DPoseEstimation"></a>
# 6D位姿估计 /6D Pose Estimation
**FS6D: Few-Shot 6D Pose Estimation of Novel Objects**
- 论文/Paper: http://arxiv.org/abs/2203.14628
- 代码/Code: None
**Uni6D: A Unified CNN Framework without Projection Breakdown for 6D Pose Estimation**
- 论文/Paper: http://arxiv.org/abs/2203.14531
- 代码/Code: None
**ZebraPose: Coarse to Fine Surface Encoding for 6DoF Object Pose Estimation**
- 论文/Paper：https://arxiv.org/abs/2203.09418
- 代码/Code：
**RNNPose: Recurrent 6-DoF Object Pose Refinement with Robust Correspondence Field Estimation and Pose Optimization**
- 论文/Paper: http://arxiv.org/abs/2203.12870
- 代码/Code: None
**ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression Framework**
- 论文/Paper: http://arxiv.org/pdf/2204.01080
- 代码/Code: None
[返回目录/back](#Contents)
<a name="HandPoseEstimation"></a>
## 手势姿态估计（重建）/Hand Pose Estimation( Hand Mesh Recovery
[返回目录/back](#Contents)
<a name="VideoActionDetection"></a>
## 视频动作检测/Video Action Detection
**DirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition**
- 论文/Paper: http://arxiv.org/abs/2203.10233
- 代码/Code: None
**End-to-End Semi-Supervised Learning for Video Action Detection**
- 论文/Paper：https://arxiv.org/abs/2203.04251
- 代码/Code：
**How Do You Do It? Fine-Grained Action Understanding with Pseudo-Adverbs**
- 论文/Paper: http://arxiv.org/abs/2203.12344
- 代码/Code: https://github.com/hazeld/pseudoadverbs
**Look for the Change: Learning Object States and State-Modifying Actions from Untrimmed Web Videos**
- 论文/Paper: http://arxiv.org/abs/2203.11637
- 代码/Code: https://github.com/soCzech/LookForTheChange
**RCL: Recurrent Continuous Localization for Temporal Action Detection**
- 论文/Paper：https://arxiv.org/abs/2203.07112
- 代码/Code：
**SPAct: Self-supervised Privacy Preservation for Action Recognition**
- 论文/Paper: http://arxiv.org/pdf/2203.15205
- 代码/Code: None
**An Empirical Study of End-to-End Temporal Action Detection**
- 论文/Paper: http://arxiv.org/pdf/2204.02932
- 代码/Code: https://github.com/xlliu7/E2E-TAD
**SOS! Self-supervised Learning Over Sets Of Handled Objects In Egocentric Action Recognition**
- 论文/Paper: http://arxiv.org/pdf/2204.04796
- 代码/Code: None
**Video Action Detection: Analysing Limitations and Challenges**
- 论文/Paper: http://arxiv.org/pdf/2204.07892
- 代码/Code: None
**Hybrid Relation Guided Set Matching for Few-shot Action Recognition**
- 论文/Paper: http://arxiv.org/pdf/2204.13423
- 代码/Code: None
**Cross-modal Representation Learning for Zero-shot Action Recognition**
- 论文/Paper: http://arxiv.org/pdf/2205.01657
- 代码/Code: None
[返回目录/back](#Contents)
<a name="SignLanguageTranslation"></a>
## 手语翻译/Sign Language Translation
**A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation**
- 论文/Paper：https://arxiv.org/abs/2203.04287
- 代码/Code：
[返回目录/back](#Contents)
<a name="3D人体重建"></a>
## 3D人体重建/Person Reconstruction
**ImFace: A Nonlinear 3D Morphable Face Model with Implicit Neural Representations**
- 论文/Paper: http://arxiv.org/abs/2203.14510
- 代码/Code: None
**AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation**
- 论文/Paper：https://arxiv.org/abs/2203.09516
- 代码/Code：https://yccyenchicheng.github.io/AutoSDF/
**Learning Motion-Dependent Appearance for High-Fidelity Rendering of Dynamic Humans from a Single Camera**
- 论文/Paper: http://arxiv.org/abs/2203.12780
- 代码/Code: None
**MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation**
- 论文/Paper: https://arxiv.org/pdf/2111.12707.pdf
- 代码/Code: https://github.com/Vegetebird/MHFormer
**OcclusionFusion: Occlusion-aware Motion Estimation for Real-time Dynamic 3D Reconstruction**
- 论文/Paper：https://arxiv.org/abs/2203.07977
- 代码/Code：https://wenbin-lin.github.io/OcclusionFusion
**Structured Local Radiance Fields for Human Avatar Modeling**
- 论文/Paper: http://arxiv.org/abs/2203.14478
- 代码/Code: None
**JIFF: Jointly-aligned Implicit Face Function for High Quality Single View Clothed Human Reconstruction**
- 论文/Paper: http://arxiv.org/pdf/2204.10549
- 代码/Code: None
[返回目录/back](#Contents)
<a name="PersonRe-identification"></a>
## 行人重识别/Person Re-identification
**Camera-Conditioned Stable Feature Generation for Isolated Camera Supervised Person Re-IDentification**
- 论文/Paper: http://arxiv.org/pdf/2203.15210
- 代码/Code: None
**Part-based Pseudo Label Refinement for Unsupervised Person Re-identification**
- 论文/Paper: http://arxiv.org/abs/2203.14675
- 代码/Code: None
**Cloning Outfits from Real-World Images to 3D Characters for Generalizable Person Re-Identification**
- 论文/Paper: http://arxiv.org/pdf/2204.02611
- 代码/Code: https://github.com/Yanan-Wang-cs/ClonedPerson
**Implicit Sample Extension for Unsupervised Person Re-Identification**
- 论文/Paper: http://arxiv.org/pdf/2204.06892
- 代码/Code: https://github.com/PaddlePaddle/PaddleClas
**Clothes-Changing Person Re-identification with RGB Modality Only**
- 论文/Paper: http://arxiv.org/pdf/2204.06890
- 代码/Code: https://github.com/guxinqian/Simple-CCReID.
**NFormer: Robust Person Re-identification with Neighbor Transformer**
- 论文/Paper: http://arxiv.org/pdf/2204.09331
- 代码/Code: https://github.com/haochenheheda/NFormer
[返回目录/back](#Contents)
<a name="PersonSearch"></a>
# 行人搜索/Person Search
[返回目录/back](#Contents)
<a name="CrowdCounting"></a>
## 人群计数 / Crowd Counting
**Cross-View Cross-Scene Multi-View Crowd Counting**
- 论文/Paper: http://arxiv.org/pdf/2205.01551
- 代码/Code: None
[返回目录/back](#Contents)
<a name="GAN"></a>
## GAN
**A Style-aware Discriminator for Controllable Image Translation**
- 论文/Paper: http://arxiv.org/pdf/2203.15375
- 代码/Code: None
**Attribute Group Editing for Reliable Few-shot Image Generation**
- 论文/Paper：https://arxiv.org/abs/2203.08422
- 代码/Code：
**Bailando: 3D Dance Generation by Actor-Critic GPT with Choreographic Memory**
- 论文/Paper: http://arxiv.org/abs/2203.13055
- 代码/Code: None
**Compound Domain Generalization via Meta-Knowledge Encoding**
- 论文/Paper: http://arxiv.org/abs/2203.13006
- 代码/Code: None
**Diverse Plausible 360-Degree Image Outpainting for Efficient 3DCG Background Creation**
- 论文/Paper: http://arxiv.org/abs/2203.14668
- 代码/Code: None
**Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization**
- 论文/Paper：https://arxiv.org/abs/2203.07740
- 代码/Code：https://github.com/YBZh/EFDM
**FlexIT: Towards Flexible Semantic Image Translation**
- 论文/paper：https://arxiv.org/abs/2203.04705
- 代码/code：
**GCFSR: a Generative and Controllable Face Super Resolution Method Without Facial and GAN Priors**
- 论文/Paper：https://arxiv.org/abs/2203.07319
- 代码/Code：
**GAN-Supervised Dense Visual Alignment**
- 论文/paper：https://arxiv.org/abs/2112.05143
- 代码/code：https://github.com/wpeebles/gangealing
**GIRAFFE HD: A High-Resolution 3D-aware Generative Model**
- 论文/Paper: http://arxiv.org/abs/2203.14954
- 代码/Code: None
**HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing**
- 论文/paper：https://arxiv.org/abs/2111.15666 | [主页](https://yuval-alaluf.github.io/hyperstyle/)
- 代码/code：https://github.com/yuval-alaluf/hyperstyle
**Look Outside the Room: Synthesizing A Consistent Long-Term 3D Scene Video from A Single Image**
- 论文/Paper：https://arxiv.org/abs/2203.09457
- 代码/Code：https://xrenaa.github.io/look-outside-room/
**Modulated Contrast for Versatile Image Synthesis**
- 论文/Paper：https://arxiv.org/abs/2203.09333
- 代码/Code：https://github.com/fnzhan/MoNCE
**Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation**
- 论文/Paper: http://arxiv.org/abs/2203.12707
- 代码/Code: None
**Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer**
- 论文/Paper: http://arxiv.org/abs/2203.13248
- 代码/Code: None
**QS-Attn: Query-Selected Attention for Contrastive Learning in I2I Translation**
- 论文/Paperhttps://arxiv.org/abs/2203.08483
- 代码/Code：
**RGB-Depth Fusion GAN for Indoor Depth Completion**
- 论文/Paper: http://arxiv.org/abs/2203.10856
- 代码/Code: None
**Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation**
- 论文/Paper: http://arxiv.org/pdf/2203.09811
- 代码/Code: https://github.com/dongxingning/sha-gcl-for-sgg
**Style Transformer for Image Inversion and Editing**
- 论文/Paper：https://arxiv.org/abs/2203.07932
- 代码/Code：
**Unsupervised Domain Adaptation for Nighttime Aerial Tracking**
- 论文/Paper: http://arxiv.org/abs/2203.10541
- 代码/Code: None
**Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation**
- 论文/Paper：https://arxiv.org/abs/2203.06321
- 代码/Code：
**Industrial Style Transfer with Large-scale Geometric Warping and Content Preservation**
- 论文/Paper: http://arxiv.org/abs/2203.12835
- 代码/Code: None
**TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing**
- 论文/Paper: http://arxiv.org/pdf/2203.17266
- 代码/Code: https://github.com/BillyXYB/TransEditor
**TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing**
- 论文/Paper: http://arxiv.org/pdf/2203.17266
- 代码/Code: https://github.com/BillyXYB/TransEditor
**Marginal Contrastive Correspondence for Guided Image Generation**
- 论文/Paper: http://arxiv.org/pdf/2204.00442
- 代码/Code: None
**Style-Based Global Appearance Flow for Virtual Try-On**
- 论文/Paper: http://arxiv.org/pdf/2204.01046
- 代码/Code: https://github.com/senhe/flow-style-vton
**Arbitrary-Scale Image Synthesis**
- 论文/Paper: http://arxiv.org/pdf/2204.02273
- 代码/Code: https://github.com/vglsd/ScaleParty
**Unsupervised Image-to-Image Translation with Generative Prior**
- 论文/Paper: http://arxiv.org/pdf/2204.03641
- 代码/Code: https://github.com/williamyang1991/gp-unit
**Commonality in Natural Images Rescues GANs: Pretraining GANs with Generic and Privacy-free Synthetic Data**
- 论文/Paper: http://arxiv.org/pdf/2204.04950
- 代码/Code: None
**medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent Space**
- 论文/Paper: http://arxiv.org/abs/2204.05376
- 代码/Code: https://github.com/avdravid/medXGAN_explanations
**Multi-View Consistent Generative Adversarial Networks for 3D-aware Image Synthesis**
- 论文/Paper: http://arxiv.org/pdf/2204.06307
- 代码/Code: None
**Dual-Domain Image Synthesis using Segmentation-Guided GAN**
- 论文/Paper: http://arxiv.org/pdf/2204.09015
- 代码/Code: https://github.com/denabazazian/Dual-Domain-Synthesis.
**ClothFormer:Taming Video Virtual Try-on in All Module**
- 论文/Paper: http://arxiv.org/abs/2204.12151
- 代码/Code: None
**OSSGAN: Open-Set Semi-Supervised Image Generation**
- 论文/Paper: http://arxiv.org/pdf/2204.14249
- 代码/Code: https://github.com/raven38/ossgan
**Fix the Noise: Disentangling Source Feature for Transfer Learning of StyleGAN**
- 论文/Paper: http://arxiv.org/pdf/2204.14079
- 代码/Code: None
**GenDR: A Generalized Differentiable Renderer**
- 论文/Paper: http://arxiv.org/pdf/2204.13845
- 代码/Code: https://github.com/Felix-Petersen/gendr
**HL-Net: Heterophily Learning Network for Scene Graph Generation**
- 论文/Paper: http://arxiv.org/pdf/2205.01316
- 代码/Code: https://github.com/siml3/HL-Net.
**RU-Net: Regularized Unrolling Network for Scene Graph Generation**
- 论文/Paper: http://arxiv.org/pdf/2205.01297
- 代码/Code: https://github.com/siml3/RU-Net
**Comparison of CoModGANs, LaMa and GLIDE for Art Inpainting- Completing M.C Escher's Print Gallery**
- 论文/Paper: http://arxiv.org/pdf/2205.01741
- 代码/Code: None
**Generate and Edit Your Own Character in a Canonical View**
- 论文/Paper: http://arxiv.org/pdf/2205.02974
- 代码/Code: None
**Scene Graph Expansion for Semantics-Guided Image Outpainting**
- 论文/Paper: http://arxiv.org/pdf/2205.02958
- 代码/Code: None
[返回目录/back](#Contents)
<a name="CPM"></a>
## 彩妆迁移 / Color-Pattern Makeup Transfer
[返回目录/back](#Contents)
<a name="FontGeneration"></a>
## 字体生成 / Font Generation
[返回目录/back](#Contents)
<a name="OCR"></a>
## OCR
**Fourier Document Restoration for Robust Document Dewarping and Recognition**
- 论文/Paper: http://arxiv.org/pdf/2203.09910
- 代码/Code: None
**SimAN: Exploring Self-Supervised Representation Learning of Scene Text via Similarity-Aware Normalization**
- 论文/Paper: http://arxiv.org/abs/2203.10492
- 代码/Code: None
### **文字图像处理（超分辨率增强、文字分割、文档版面分析）**
**A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-resolution**
- 论文/Paper：https://arxiv.org/abs/2203.09388
- 代码/Code：https://github.com/mjq11302010044/TATT
### 场景文本检测、识别/Scene Text Detection/Recognition
**Kernel Proposal Network for Arbitrary Shape Text Detection**
- 论文/Paper：https://arxiv.org/abs/2203.06410
- 代码/Code：https://github.com/GXYM/KPN
**SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition**
- 论文/Paper: http://arxiv.org/abs/2203.10209
- 代码/Code: None
**Towards End-to-End Unified Scene Text Detection and Layout Analysis**
- 论文/Paper: http://arxiv.org/pdf/2203.15143
- 代码/Code: None
**Pushing the Performance Limit of Scene Text Recognizer without Human Annotation**
- 论文/Paper: http://arxiv.org/pdf/2204.07714
- 代码/Code: None
**Vision-Language Pre-Training for Boosting Scene Text Detectors**
- 论文/Paper: http://arxiv.org/pdf/2204.13867
- 代码/Code: None
### **端到端文字识别**
**Open-set Text Recognition via Character-Context Decoupling**
- 论文/Paper: http://arxiv.org/pdf/2204.05535
- 代码/Code: None
### **手写文字分析与识别**
### **其它（文档图像预训练模型，Text VQA、数据集，Retrieval , 应用）**
[返回目录/back](#Contents)
<a name="Retrieval"></a>
## 图像、视频检索 / Image Retrieval/Video retrieval
**Correlation Verification for Image Retrieval**
- 论文/Paper: http://arxiv.org/pdf/2204.01458
- 代码/Code: https://github.com/sungonce/cvnet
**Sketching without Worrying: Noise-Tolerant Sketch-Based Image Retrieval**
- 论文/Paper: http://arxiv.org/abs/2203.14817
- 代码/Code: None
**Beyond Cross-view Image Retrieval: Highly Accurate Vehicle Localization Using Satellite Image**
- 论文/Paper: http://arxiv.org/pdf/2204.04752
- 代码/Code: None
**Probabilistic Compositional Embeddings for Multimodal Image Retrieval**
- 论文/Paper: http://arxiv.org/pdf/2204.05845
- 代码/Code: https://github.com/andreineculai/MPC.
[返回目录/back](#Contents)
<a name="ImageAnimation"></a>
## Image Animation
**Thin-Plate Spline Motion Model for Image Animation**
- 论文/Paper: http://arxiv.org/abs/2203.14367
- 代码/Code: None
[返回目录/back](#Contents)
<a name="ImageMatting"></a>
## 抠图/Image Matting/Video Matting
[返回目录/back](#Contents)
<a name="SuperResolution"></a>
# 超分辨率/Super Resolution
**Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution**
- 论文/Paper：https://arxiv.org/abs/2203.09195
- 代码/Code：https://github.com/csjliang/LDL
**Learning Graph Regularisation for Guided Super-Resolution**
- 论文/Paper: http://arxiv.org/abs/2203.14297
- 代码/Code: None
**Reflash Dropout in Image Super-Resolution**
- 论文/Paper：https://arxiv.org/pdf/2112.12089.pdf
- 代码/Code：https://github.com/Xiangtaokong/Reflash-Dropout-in-Image-Super-Resolution
**Look Back and Forth: Video Super-Resolution with Explicit Temporal Difference Modeling**
- 论文/Paper: http://arxiv.org/pdf/2204.07114
- 代码/Code: None
**Fast and Memory-Efficient Network Towards Efficient Image Super-Resolution**
- 论文/Paper: http://arxiv.org/pdf/2204.08397
- 代码/Code: https://github.com/NJU-Jet/FMEN.
**Self-Calibrated Efficient Transformer for Lightweight Super-Resolution**
- 论文/Paper: http://arxiv.org/pdf/2204.08913
- 代码/Code: https://github.com/AlexZou14/SCET.
**Edge-enhanced Feature Distillation Network for Efficient Super-Resolution**
- 论文/Paper: http://arxiv.org/pdf/2204.08759
- 代码/Code: https://github.com/icandle/EFDN.
**A New Dataset and Transformer for Stereoscopic Video Super-Resolution**
- 论文/Paper: http://arxiv.org/pdf/2204.10039
- 代码/Code: https://github.com/H-deep/Trans-SVSR/
**FS-NCSR: Increasing Diversity of the Super-Resolution Space via Frequency Separation and Noise-Conditioned Normalizing Flow**
- 论文/Paper: http://arxiv.org/pdf/2204.09679
- 代码/Code: None
**IMDeception: Grouped Information Distilling Super-Resolution Network**
- 论文/Paper: http://arxiv.org/pdf/2204.11463
- 代码/Code: None
**Self-Supervised Super-Resolution for Multi-Exposure Push-Frame Satellites**
- 论文/Paper: http://arxiv.org/pdf/2205.02031
- 代码/Code: None
[返回目录/back](#Contents)
<a name="ImageRestoration"></a>
# 图像复原/Image Restoration
**Exploring and Evaluating Image Restoration Potential in Dynamic Scenes**
- 论文/Paper: http://arxiv.org/abs/2203.11754
- 代码/Code: None
**Interacting Attention Graph for Single Image Two-Hand Reconstruction**
- 论文/Paper：https://arxiv.org/abs/2203.09364
- 代码/Code：https://github.com/Dw1010/IntagHand
**Deep Generalized Unfolding Networks for Image Restoration**
- 论文/Paper: http://arxiv.org/pdf/2204.13348
- 代码/Code: https://github.com/MC-E/Deep-Generalized-Unfolding-Networks-for-Image-Restoration.
[返回目录/back](#Contents)
<a name="ImageInpainting"></a>
# 图像补全/Image Inpainting
**Bridging Global Context Interactions for High-Fidelity Image Completion**
- 论文/Paper：https://arxiv.org/abs/2104.00845
- 代码/Code：https://github.com/lyndonzheng/TFill
**MAT: Mask-Aware Transformer for Large Hole Image Inpainting**
- 论文/Paper: http://arxiv.org/pdf/2203.15270
- 代码/Code: None
**MISF: Multi-level Interactive Siamese Filtering for High-Fidelity Image Inpainting**
- 论文/Paper：https://arxiv.org/abs/2203.06304
- 代码/Code：https://github.com/tsingqguo/misf
**Towards An End-to-End Framework for Flow-Guided Video Inpainting**
- 论文/Paper: http://arxiv.org/pdf/2204.02663
- 代码/Code: https://github.com/MCG-NKU/E2FGVI
[返回目录/back](#Contents)
<a name="ImageDenoising"></a>
## 图像去噪/Image Denoising
**AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network**
- 论文/Paper: http://arxiv.org/abs/2203.11799
- 代码/Code: None
**Blind2Unblind: Self-Supervised Image Denoising with Visible Blind Spots**
- 论文/Paper：https://arxiv.org/abs/2203.06967
- 代码/Code：https://github.com/demonsjin/Blind2Unblind
**CVF-SID: Cyclic multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise from Image**
- 论文/Paper: http://arxiv.org/abs/2203.13009
- 代码/Code: None
**Learning to Deblur using Light Field Generated and Real Defocus Images**
- 论文/Paper: http://arxiv.org/pdf/2204.00367
- 代码/Code: https://github.com/lingyanruan/DRBNet
**Dancing under the stars: video denoising in starlight**
- 论文/Paper: http://arxiv.org/abs/2204.04210
- 代码/Code: None
**Multiple Degradation and Reconstruction Network for Single Image Denoising via Knowledge Distillation**
- 论文/Paper: http://arxiv.org/pdf/2204.13873
- 代码/Code: None
[返回目录/back](#Contents)
<a name="ImageEditing"></a>
# 图像编辑/Image Editing
[返回目录/back](#Contents)
<a name="Imagestitching"></a>
# 图像拼接/Image stitching
**Deep Rectangling for Image Stitching: A Learning Baseline**
- 论文/Paper：https://arxiv.org/abs/2203.03831
- 代码/Code：https://github.com/nie-lang/DeepRectangling
[返回目录/back](#Contents)
<a name="ImageMatching"></a>
# 图像匹配/Image Matching
[返回目录/back](#Contents)
<a name="ImageBlending"></a>
# 图像融合/Image Blending
[返回目录/back](#Contents)
<a name="ImageDehazing"></a>
## 图像去雾/Image Dehazing
[返回目录/back](#Contents)
<a name="ImageCompression"></a>
## 图像压缩/Image Compression
**ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding**
- 论文/Paper: http://arxiv.org/abs/2203.10886
- 代码/Code: None
**Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression**
- 论文/Paper: http://arxiv.org/abs/2203.10897
- 代码/Code: None
[返回目录/back](#Contents)
<a name="ReflectionRemoval"></a>
## 反光去除/Reflection Removal
[返回目录/back](#Contents)
<a name="LaneDetection"></a>
## 车道线检测/Lane Detection
**CLRNet: Cross Layer Refinement Network for Lane Detection**
- 论文/Paper: http://arxiv.org/abs/2203.10350
- 代码/Code: None
**Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes**
- 论文/Paper: http://arxiv.org/pdf/2203.15302
- 代码/Code: None
**Rethinking Efficient Lane Detection via Curve Modeling**
- 论文/Paper：https://arxiv.org/abs/2203.02431
- 代码/Code：https://github.com/voldemortX/pytorch-auto-drive
**Towards Driving-Oriented Metric for Lane Detection Models**
- 论文/Paper: http://arxiv.org/pdf/2203.16851
- 代码/Code: None
**A Keypoint-based Global Association Network for Lane Detection**
- 论文/Paper: http://arxiv.org/pdf/2204.07335
- 代码/Code: https://github.com/Wolfwjs/GANet.
**ONCE-3DLanes: Building Monocular 3D Lane Detection**
- 论文/Paper: http://arxiv.org/pdf/2205.00301
- 代码/Code: None
[返回目录/back](#Contents)
<a name="AutonomousDriving"></a>
## 自动驾驶 / Autonomous Driving
**Learning from All Vehicles**
- 论文/Paper: http://arxiv.org/abs/2203.11934
- 代码/Code: https://github.com/dotchen/LAV
[返回目录/back](#Contents)
<a name="FluidReconstruction"></a>
## 流体重建/Fluid Reconstruction
[返回目录/back](#Contents)
<a name="SceneReconstruction"></a>
## 场景重建 / Scene Reconstruction
**3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow**
- 论文/Paper: http://arxiv.org/pdf/2203.15190
- 代码/Code: None
**NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstruction**
- 论文/Paper: http://arxiv.org/abs/2203.11283
- 代码/Code: None
**PlaneMVS: 3D Plane Reconstruction from Multi-View Stereo**
- 论文/Paper: http://arxiv.org/abs/2203.12082
- 代码/Code: None
**Neural 3D Scene Reconstruction with the Manhattan-world Assumption**
- 论文/Paper: http://arxiv.org/pdf/2205.02836
- 代码/Code: https://github.com/zju3dv/manhattan_sdf
[返回目录/back](#Contents)
<a name="FrameInterpolation"></a>
## 视频插帧/Frame Interpolation
**Long-term Video Frame Interpolation via Feature Propagation**
- 论文/Paper: http://arxiv.org/pdf/2203.15427
- 代码/Code: None
**TimeReplayer: Unlocking the Potential of Event Cameras for Video Interpolation**
- 论文/Paper: http://arxiv.org/abs/2203.13859
- 代码/Code: None
**Unifying Motion Deblurring and Frame Interpolation with Events**
- 论文/Paper: http://arxiv.org/abs/2203.12178
- 代码/Code: None
**Time Lens++: Event-based Frame Interpolation with Parametric Non-linear Flow and Multi-scale Fusion**
- 论文/Paper: http://arxiv.org/pdf/2203.17191
- 代码/Code: None
**Many-to-many Splatting for Efficient Video Frame Interpolation**
- 论文/Paper: http://arxiv.org/pdf/2204.03513
- 代码/Code: https://github.com/feinanshan/m2m_vfi
[返回目录/back](#Contents)
<a name="VideoSuper-Resolution"></a>
## 视频超分 / Video Super-Resolution
**Reference-based Video Super-Resolution Using Multi-Camera Video Triplets**
- 论文/Paper: http://arxiv.org/abs/2203.14537
- 代码/Code: None
[返回目录/back](#Contents)
<a name="3DPointCloud"></a>
## 3D点云/3D point cloud
**ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation**
- 论文/Paper：https://arxiv.org/abs/2203.03888
- 代码/Code：
**AziNorm: Exploiting the Radial Symmetry of Point Cloud for Azimuth-Normalized 3D Perception**
- 论文/Paper: http://arxiv.org/abs/2203.13090
- 代码/Code: None
**Contrastive Boundary Learning for Point Cloud Segmentation**
- 论文/Paper：https://arxiv.org/abs/2203.05272
- 代码/Code：https://github.com/LiyaoTang/contrastBoundary
**Equivariant Point Cloud Analysis via Learning Orientations for Message Passing**
- 论文/Paper: http://arxiv.org/abs/2203.14486
- 代码/Code: None
**IDEA-Net: Dynamic 3D Point Cloud Interpolation via Deep Embedding Alignment**
- 论文/Paper: http://arxiv.org/abs/2203.11590
- 代码/Code: None
**Learning a Structured Latent Space for Unsupervised Point Cloud Completion**
- 论文/Paper: http://arxiv.org/pdf/2203.15580
- 代码/Code: None
**Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds**
- 论文/Paper: http://arxiv.org/abs/2203.11139
- 代码/Code: None
**No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces**
- 论文/Paper: http://arxiv.org/abs/2203.11113
- 代码/Code: None
**REGTR: End-to-end Point Cloud Correspondences with Transformers**
- 论文/Paper: http://arxiv.org/abs/2203.14517
- 代码/Code: None
**SC^2-PCR: A Second Order Spatial Compatibility for Efficient and Robust Point Cloud Registration**
- 论文/Paper: http://arxiv.org/abs/2203.14453
- 代码/Code: None
**Stratified Transformer for 3D Point Cloud Segmentation**
- 论文/Paper: http://arxiv.org/abs/2203.14508
- 代码/Code: None
**Shape-invariant 3D Adversarial Point Clouds**
- 论文/Paper：https://arxiv.org/abs/2203.04041
- 代码/Code：https://github.com/shikiw/SI-Adv
**WarpingGAN: Warping Multiple Uniform Priors for Adversarial 3D Point Cloud Generation**
- 论文/Paper: http://arxiv.org/abs/2203.12917
- 代码/Code: None
**Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds**
- 论文/Paper: http://arxiv.org/pdf/2203.16895
- 代码/Code: None
**Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds**
- 论文/Paper: http://arxiv.org/pdf/2203.16895
- 代码/Code: None
**Learning Local Displacements for Point Cloud Completion**
- 论文/Paper: http://arxiv.org/pdf/2203.16600
- 代码/Code: None
**3DeformRS: Certifying Spatial Deformations on Point Clouds**
- 论文/Paper: http://arxiv.org/pdf/2204.05687
- 代码/Code: None
**Reconstructing Surfaces for Sparse Point Clouds with On-Surface Priors**
- 论文/Paper: http://arxiv.org/pdf/2204.10603
- 代码/Code: https://github.com/mabaorui/onsurfaceprior
**Surface Reconstruction from Point Clouds by Learning Predictive Context Priors**
- 论文/Paper: http://arxiv.org/pdf/2204.11015
- 代码/Code: None
**Density-preserving Deep Point Cloud Compression**
- 论文/Paper: http://arxiv.org/pdf/2204.12684
- 代码/Code: None
**Why Discard if You can Recycle?: A Recycling Max Pooling Module for 3D Point Cloud Analysis**
- 论文/Paper: https://openaccess.thecvf.com/content/CVPR2022/papers/Chen_Why_Discard_if_You_Can_Recycle_A_Recycling_Max_Pooling_CVPR_2022_paper.pdf
- 代码/Code: https://github.com/jiajingchen113322/Recycle_Maxpooling_Module
**Boosting 3D Object Detection by Simulating Multimodality on Point Clouds**
- 论文/Paper: https://arxiv.org/abs/2206.14971
- 代码/Code: None
[返回目录/back](#Contents)
<a name="Label-Noise"></a>
# 标签噪声 Label-Noise
[返回目录/back](#Contents)
<a name="AdversarialExamples"></a>
# 对抗样本 / Adversarial Examples
**LAS-AT: Adversarial Training with Learnable Attack Strategy**
- 论文/Paper：https://arxiv.org/pdf/2203.06616.pdf
- 代码/Code：https://github.com/jiaxiaojunQAQ/LAS-AT
[返回目录/back](#Contents)
<a name="Other"></a>
## 其他/Other
**DINE: Domain Adaptation from Single and Multiple Black-box Predictors**
- 论文/Paper：https://arxiv.org/abs/2104.01539
- 代码/Code：https://github.com/tim-learn/DINE
**It's About Time: Analog clock Reading in the Wild**
- 论文/Paper：https://arxiv.org/abs/2111.09162
- 代码/Code：https://github.com/charigyang/itsabouttime
**Neural Face Identification in a 2D Wireframe Projection of a Manifold Object**
- 论文/Paper：https://arxiv.org/abs/2203.04229 | [主页](https://manycore-research.github.io/faceformer/)
- 代码/Code：https://github.com/manycore-research/faceformer
**Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences**
- 论文/Paper：https://arxiv.org/abs/2203.04279
- 代码/Code：https://github.com/PruneTruong/DenseMatching
**TeachAugment: Data Augmentation Optimization Using Teacher Knowledge**
- 论文/Paper：https://arxiv.org/abs/2202.12513
- 代码/Code：https://github.com/DensoITLab/TeachAugment
**UKPGAN: Unsupervised KeyPoint GANeration**
- 论文/Paper：
- 代码/Code：https://github.com/qq456cvb/UKPGAN
**DeltaCNN: End-to-End CNN Inference of Sparse Frame Differences in Videos**
- 论文/Paper：https://arxiv.org/abs/2203.03996
- 代码/Code：
**Generative Cooperative Learning for Unsupervised Video Anomaly Detection**
- 论文/Paper：https://arxiv.org/abs/2203.03962
- 代码/Code：
**Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon**
- 论文/Paper：https://arxiv.org/abs/2203.03818
- 代码/Code：
**Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild**
- 论文/Paper：https://arxiv.org/abs/2203.03800
- 代码/Code：https://github.com/deeplearning-wisc/stud
**On Generalizing Beyond Domains in Cross-Domain Continual Learning**
- 论文/Paper：https://arxiv.org/abs/2203.03970
- 代码/Code：
**Generating 3D Bio-Printable Patches Using Wound Segmentation and Reconstruction to Treat Diabetic Foot Ulcers**
- 论文/Paper：https://arxiv.org/abs/2203.03814
- 代码/Code：
**What Matters For Meta-Learning Vision Regression Tasks?**
- 论文/Paper：https://arxiv.org/abs/2203.04905
- 代码/Code：
**ChiTransformer:Towards Reliable Stereo from Cues**
- 论文/Paper：https://arxiv.org/abs/2203.04554
- 代码/Code：
**Dynamic Dual-Output Diffusion Models**
- 论文/Paper：https://arxiv.org/abs/2203.04304
- 代码/Code：
**Spatial Commonsense Graph for Object Localisation in Partial Scenes**
- 论文/Paper：https://arxiv.org/abs/2203.05380
- 代码/Code：https://fgiuliari.github.io/projects/SpatialCommonsenseGraph/
**Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack**
- 论文/Paper：https://arxiv.org/abs/2203.05154
- 代码/Code：https://github.com/liuye6666/adaptive_auto_attack
**Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity**
- 论文/Paper：https://arxiv.org/abs/2203.05151
- 代码/Code：
**REX: Reasoning-aware and Grounded Explanation**
- 论文/Paper：https://arxiv.org/abs/2203.06107
- 代码/Code：
**FLAG: Flow-based 3D Avatar Generation from Sparse Observations**
- 论文/Paper：https://arxiv.org/abs/2203.05789
- 代码/Code：
**Learning Distinctive Margin toward Active Domain Adaptation**
- 论文/Paper：https://arxiv.org/abs/2203.05738
- 代码/Code：https://github.com/TencentYoutuResearch/ActiveLearning-SDM
**Active Learning by Feature Mixing**
- 论文/Paper：https://arxiv.org/abs/2203.07034
- 代码/Code：
**UniVIP: A Unified Framework for Self-Supervised Visual Pre-training**
- 论文/Paper：https://arxiv.org/abs/2203.06965
- 代码/Code：
**Forward Compatible Few-Shot Class-Incremental Learning**
- 论文/Paper：https://arxiv.org/abs/2203.06953
- 代码/Code：https://github.com/zhoudw-zdw/CVPR22-Fact
**XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document Understanding**
- 论文/Paper：https://arxiv.org/abs/2203.06947
- 代码/Code：
**Accelerating DETR Convergence via Semantic-Aligned Matching**
- 论文/Paper：https://arxiv.org/abs/2203.06883
- 代码/Code：https://github.com/ZhangGongjie/SAM-DETR
**ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation**
- 论文/Paper：https://arxiv.org/abs/2203.06811
- 代码/Code：
**Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs**
- 论文/Paper：https://arxiv.org/abs/2203.06717
- 代码/Code：https://github.com/megvii-research/RepLKNet
**LAS-AT: Adversarial Training with Learnable Attack Strategy**
- 论文/Paper：https://arxiv.org/abs/2203.06616
- 代码/Code：https://github.com/jiaxiaojunQAQ/LAS-AT
**Depth-Aware Generative Adversarial Network for Talking Head Video Generation**
- 论文/Paper：https://arxiv.org/abs/2203.06605
- 代码/Code：https://github.com/harlanhong/CVPR2022-DaGAN
**AutoGPart: Intermediate Supervision Search for Generalizable 3D Part Segmentation**
- 论文/Paper：https://arxiv.org/abs/2203.06558
- 代码/Code：
**Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning**
- 论文/Paper：https://arxiv.org/abs/2203.06541
- 代码/Code：https://github.com/Jiahao-UTS/SLPT-master
**Implicit Feature Decoupling with Depthwise Quantization**
- 论文/Paper：https://arxiv.org/abs/2203.08080
- 代码/Code：
**Interspace Pruning: Using Adaptive Filter Representations to Improve Training of Sparse CNNs**
- 论文/Paper：https://arxiv.org/abs/2203.07808
- 代码/Code：
**Learning What Not to Segment: A New Perspective on Few-Shot Segmentation**
- 论文/Paper：https://arxiv.org/abs/2203.07615
- 代码/Code：https://github.com/chunbolang/BAM
**Can Neural Nets Learn the Same Mode**
**l Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective**
- 论文/Paper：https://arxiv.org/abs/2203.08124
- 代码/Code：https://github.com/somepago/dbViz
**Scalable Penalized Regression for Noise Detection in Learning with Noisy Labels**
- 论文/Paper：https://arxiv.org/abs/2203.07788
- 代码/Code：https://github.com/Yikai-Wang/SPR-LNL
**Deep vanishing point detection: Geometric priors make dataset variations vanish**
- 论文/Paper：https://arxiv.org/abs/2203.08586
- 代码/Code：https://github.com/yanconglin/VanishingPoint_HoughTransform_GaussianSphere
**Non-isotropy Regularization for Proxy-based Deep Metric Learning**
- 论文/Paper：https://arxiv.org/abs/2203.08563
- 代码/Code：https://github.com/ExplainableML/NonIsotropicProxyDML
**Integrating Language Guidance into Vision-based Deep Metric Learning**
- 论文/Paper：https://arxiv.org/abs/2203.08543
- 代码/Code：https://github.com/ExplainableML/LanguageGuidance_for_DML
**Pseudo-Q: Generating Pseudo Language Queries for Visual Grounding**
- 论文/Paper：https://arxiv.org/abs/2203.08481
- 代码/Code：https://github.com/LeapLabTHU/Pseudo-Q
**The Devil Is in the Details: Window-based Attention for Image Compression**
- 论文/Paper：https://arxiv.org/abs/2203.08450
- 代码/Code：https://github.com/Googolxx/STF
**Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting**
- 论文/Paper：https://arxiv.org/abs/2203.08354
- 代码/Code：https://github.com/flyinglynx/Bilinear-Matching-Network
**Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces from 3D MRI Scans with Geometric Deep Neural Networks**
- 论文/Paper：https://arxiv.org/abs/2203.09446
- 代码/Code：
**Bi-directional Object-context Prioritization Learning for Saliency Ranking**
- 论文/Paper：https://arxiv.org/abs/2203.09416
- 代码/Code：https://github.com/GrassBro/OCOR
**Object Localization under Single Coarse Point Supervision**
- 论文/Paper：https://arxiv.org/abs/2203.09338
- 代码/Code：https://github.com/ucas-vg/PointTinyBenchmark/
**Neural Compression-Based Feature Learning for Video Restoration**
- 论文/Paper：https://arxiv.org/abs/2203.09208
- 代码/Code：
**MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-based Visual Question Answering**
- 论文/Paper：https://arxiv.org/abs/2203.09138
- 代码/Code：https://github.com/AndersonStra/MuKEA
**Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input**
- 论文/Paper：https://arxiv.org/abs/2203.09123
- 代码/Code：https://github.com/dreamflake/ODI
**DATA: Domain-Aware and Task-Aware Pre-training**
- 论文/Paper：https://arxiv.org/abs/2203.09041
- 代码/Code：https://github.com/GAIA-vision/GAIA-ssl
**Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning**
- 论文/Paper：https://arxiv.org/abs/2203.09249
- 代码/Code：
**Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning**
- 论文/Paper：https://arxiv.org/abs/2203.09137
- 代码/Code：https://github.com/YiteWang/MetaNTK-NAS
**Learning Affordance Grounding from Exocentric Images**
- 论文/Paper: http://arxiv.org/pdf/2203.09905
- 代码/Code: https://github.com/lhc1224/cross-view-affordance-grounding
**DTA: Physical Camouflage Attacks using Differentiable Transformation Network**
- 论文/Paper: http://arxiv.org/pdf/2203.09831
- 代码/Code: None
**Cross-Modal Perceptionist: Can Face Geometry be Gleaned from Voices?**
- 论文/Paper: http://arxiv.org/pdf/2203.09824
- 代码/Code: None
**Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective**
- 论文/Paper: http://arxiv.org/abs/2203.10887
- 代码/Code: None
**ViM: Out-Of-Distribution with Virtual-logit Matching**
- 论文/Paper: http://arxiv.org/abs/2203.10807
- 代码/Code: None
**Delving into the Estimation Shift of Batch Normalization in a Network**
- 论文/Paper: http://arxiv.org/abs/2203.10778
- 代码/Code: None
**Depth Estimation by Combining Binocular Stereo and Monocular Structured-Light**
- 论文/Paper: http://arxiv.org/abs/2203.10493
- 代码/Code: None
**TVConv: Efficient Translation Variant Convolution for Layout-aware Visual Processing**
- 论文/Paper: http://arxiv.org/abs/2203.10489
- 代码/Code: None
**Portrait Eyeglasses and Shadow Removal by Leveraging 3D Synthetic Data**
- 论文/Paper: http://arxiv.org/abs/2203.10474
- 代码/Code: None
**Discovering Objects that Can Move**
- 论文/Paper: http://arxiv.org/abs/2203.10159
- 代码/Code: None
**φ-SfT: Shape-from-Template with a Physics-Based Deformation Model**
- 论文/Paper: http://arxiv.org/abs/2203.11938
- 代码/Code: None
**Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation**
- 论文/Paper: http://arxiv.org/abs/2203.11483
- 代码/Code: None
**Mixed Differential Privacy in Computer Vision**
- 论文/Paper: http://arxiv.org/abs/2203.11481
- 代码/Code: None
**Global Matching with Overlapping Attention for Optical Flow Estimation**
- 论文/Paper: http://arxiv.org/abs/2203.11335
- 代码/Code: None
**DR.VIC: Decomposition and Reasoning for Video Individual Counting**
- 论文/Paper: http://arxiv.org/abs/2203.12335
- 代码/Code: https://github.com/taohan10200/drnet
**DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification**
- 论文/Paper: http://arxiv.org/abs/2203.12081
- 代码/Code:https://github.com/hrzhang1123/DTFD-MIL
**Efficient Translation Variant Convolution for Layout-aware Visual Processing**
- 论文/Paper：http://arxiv.org/abs/2203.10489
- 代码/Code：https://github.com/JierunChen/TVConv
**Moving Window Regression: A Novel Approach to Ordinal Regression**
- 论文/Paper: http://arxiv.org/abs/2203.13122
- 代码/Code: None
**Egocentric Prediction of Action Target in 3D**
- 论文/Paper: http://arxiv.org/abs/2203.13116
- 代码/Code: None
**Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction**
- 论文/Paper: http://arxiv.org/abs/2203.12997
- 代码/Code: None
**Neural Reflectance for Shape Recovery with Shadow Handling**
- 论文/Paper: http://arxiv.org/abs/2203.12909
- 代码/Code: None
**DyRep: Bootstrapping Training with Dynamic Re-parameterization**
- 论文/Paper: http://arxiv.org/abs/2203.12868
- 代码/Code: None
**Multidimensional Belief Quantification for Label-Efficient Meta-Learning**
- 论文/Paper: http://arxiv.org/abs/2203.12768
- 代码/Code: None
**Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustness**
- 论文/Paper: http://arxiv.org/pdf/2203.13639
- 代码/Code: None
**Unsupervised Pre-training for Temporal Action Localization Tasks**
- 论文/Paper: http://arxiv.org/pdf/2203.13609
- 代码/Code: None
**Continual Test-Time Domain Adaptation**
- 论文/Paper: http://arxiv.org/pdf/2203.13591
- 代码/Code: None
**Self-Supervised Predictive Learning: A Negative-Free Method for Sound Source Localization in Visual Scenes**
- 论文/Paper: http://arxiv.org/pdf/2203.13412
- 代码/Code: None
**NPBG++: Accelerating Neural Point-Based Graphics**
- 论文/Paper: http://arxiv.org/pdf/2203.13318
- 代码/Code: None
**Weakly-Supervised Online Action Segmentation in Multi-View Instructional Videos**
- 论文/Paper: http://arxiv.org/pdf/2203.13309
- 代码/Code: None
**Probing Representation Forgetting in Supervised and Unsupervised Continual Learning**
- 论文/Paper: http://arxiv.org/pdf/2203.13381
- 代码/Code: None
**Energy-based Latent Aligner for Incremental Learning**
- 论文/Paper: http://arxiv.org/abs/2203.14952
- 代码/Code: None
**Controllable Dynamic Multi-Task Architectures**
- 论文/Paper: http://arxiv.org/abs/2203.14949
- 代码/Code: None
**Attributable Visual Similarity Learning**
- 论文/Paper: http://arxiv.org/abs/2203.14932
- 代码/Code: None
**Learning Where to Learn in Cross-View Self-Supervised Learning**
- 论文/Paper: http://arxiv.org/abs/2203.14898
- 代码/Code: None
**Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches**
- 论文/Paper: http://arxiv.org/abs/2203.14843
- 代码/Code: None
**Partially Does It: Towards Scene-Level FG-SBIR with Partial Input**
- 论文/Paper: http://arxiv.org/abs/2203.14804
- 代码/Code: None
**Bi-level Doubly Variational Learning for Energy-based Latent Variable Models**
- 论文/Paper: http://arxiv.org/abs/2203.14702
- 代码/Code: None
**Sketch3T: Test-Time Training for Zero-Shot SBIR**
- 论文/Paper: http://arxiv.org/abs/2203.14691
- 代码/Code: None
**Brain-inspired Multilayer Perceptron with Spiking Neurons**
- 论文/Paper: http://arxiv.org/abs/2203.14679
- 代码/Code: None
**Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection**
- 论文/Paper: http://arxiv.org/abs/2203.14506
- 代码/Code: None
**NOC-REK: Novel Object Captioning with Retrieved Vocabulary from External Knowledge**
- 论文/Paper: http://arxiv.org/abs/2203.14499
- 代码/Code: None
**ARCS: Accurate Rotation and Correspondence Search**
- 论文/Paper: http://arxiv.org/abs/2203.14493
- 代码/Code: None
**iPLAN: Interactive and Procedural Layout Planning**
- 论文/Paper: http://arxiv.org/abs/2203.14412
- 代码/Code: None
**Locality-Aware Inter-and Intra-Video Reconstruction for Self-Supervised Correspondence Learning**
- 论文/Paper: http://arxiv.org/abs/2203.14333
- 代码/Code: None
**Local-Adaptive Face Recognition via Graph-based Meta-Clustering and Regularized Adaptation**
- 论文/Paper: http://arxiv.org/abs/2203.14327
- 代码/Code: None
**Unsupervised Vision-Language Parsing: Seamlessly Bridging Visual Scene Graphs with Language Structures via Dependency Relationships**
- 论文/Paper: http://arxiv.org/abs/2203.14260
- 代码/Code: None
**Knowledge Mining with Scene Text for Fine-Grained Recognition**
- 论文/Paper: http://arxiv.org/abs/2203.14215
- 代码/Code: None
**Long-Tailed Recognition via Weight Balancing**
- 论文/Paper: http://arxiv.org/abs/2203.14197
- 代码/Code: None
**HINT: Hierarchical Neuron Concept Explainer**
- 论文/Paper: http://arxiv.org/abs/2203.14196
- 代码/Code: None
**Bridge-Prompt: Towards Ordinal Action Understanding in Instructional Videos**
- 论文/Paper: http://arxiv.org/abs/2203.14104
- 代码/Code: None
**Learning to Answer Questions in Dynamic Audio-Visual Scenarios**
- 论文/Paper: http://arxiv.org/abs/2203.14072
- 代码/Code: None
**Neural MoCon: Neural Motion Control for Physically Plausible Human Motion Capture**
- 论文/Paper: http://arxiv.org/abs/2203.14065
- 代码/Code: None
**Visual Abductive Reasoning**
- 论文/Paper: http://arxiv.org/abs/2203.14040
- 代码/Code: None
**RSCFed: Random Sampling Consensus Federated Semi-supervised Learning**
- 论文/Paper: http://arxiv.org/abs/2203.13993
- 代码/Code: None
**GEN-VLKT: Simplify Association and Enhance Interaction Understanding for HOI Detection**
- 论文/Paper: http://arxiv.org/abs/2203.13954
- 代码/Code: None
**Sylph: A Hypernetwork Framework for Incremental Few-shot Object Detection**
- 论文/Paper: http://arxiv.org/abs/2203.13903
- 代码/Code: None
**Causality Inspired Representation Learning for Domain Generalization**
- 论文/Paper: http://arxiv.org/abs/2203.14237
- 代码/Code: None
**Transformer-empowered Multi-scale Contextual Matching and Aggregation for Multi-contrast MRI Super-resolution**
- 论文/Paper: http://arxiv.org/abs/2203.13963
- 代码/Code: None
**CHEX: CHannel EXploration for CNN Model Compression**
- 论文/Paper: http://arxiv.org/pdf/2203.15794
- 代码/Code: None
**FisherMatch: Semi-Supervised Rotation Regression via Entropy-based Filtering**
- 论文/Paper: http://arxiv.org/pdf/2203.15765
- 代码/Code: None
**EnvEdit: Environment Editing for Vision-and-Language Navigation**
- 论文/Paper: http://arxiv.org/pdf/2203.15685
- 代码/Code: None
**Exploring Frequency Adversarial Attacks for Face Forgery Detection**
- 论文/Paper: http://arxiv.org/pdf/2203.15674
- 代码/Code: None
**BARC: Learning to Regress 3D Dog Shape from Images by Exploiting Breed Information**
- 论文/Paper: http://arxiv.org/pdf/2203.15536
- 代码/Code: None
**Learning Structured Gaussians to Approximate Deep Ensembles**
- 论文/Paper: http://arxiv.org/pdf/2203.15485
- 代码/Code: None
**Quantifying Societal Bias Amplification in Image Captioning**
- 论文/Paper: http://arxiv.org/pdf/2203.15395
- 代码/Code: None
**Alignment-Uniformity aware Representation Learning for Zero-shot Video Classification**
- 论文/Paper: http://arxiv.org/pdf/2203.15381
- 代码/Code: https://github.com/ShipuLoveMili/CVPR2022-AURL
**Self-Supervised Image Representation Learning with Geometric Set Consistency**
- 论文/Paper: http://arxiv.org/pdf/2203.15361
- 代码/Code: None
**Nested Collaborative Learning for Long-Tailed Visual Recognition**
- 论文/Paper: http://arxiv.org/pdf/2203.15359
- 代码/Code: None
**Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries**
- 论文/Paper: http://arxiv.org/pdf/2203.15355
- 代码/Code: None
**CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters**
- 论文/Paper: http://arxiv.org/pdf/2203.15331
- 代码/Code: None
**Dressing in the Wild by Watching Dance Videos**
- 论文/Paper: http://arxiv.org/pdf/2203.15320
- 代码/Code: None
**Eigencontours: Novel Contour Descriptors Based on Low-Rank Approximation**
- 论文/Paper: http://arxiv.org/pdf/2203.15259
- 代码/Code: None
**Pop-Out Motion: 3D-Aware Image Deformation via Learning the Shape Laplacian**
- 论文/Paper: http://arxiv.org/pdf/2203.15235
- 代码/Code: None
**Zero-Query Transfer Attacks on Context-Aware Object Detectors**
- 论文/Paper: http://arxiv.org/pdf/2203.15230
- 代码/Code: None
**ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization**
- 论文/Paper: http://arxiv.org/pdf/2203.15187
- 代码/Code: None
**Registering Explicit to Implicit: Towards High-Fidelity Garment mesh Reconstruction from Single Images**
- 论文/Paper: http://arxiv.org/pdf/2203.15007
- 代码/Code: None
**Clean Implicit 3D Structure from Noisy 2D STEM Images**
- 论文/Paper: http://arxiv.org/pdf/2203.15434
- 代码/Code: None
**Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets**
- 论文/Paper: http://arxiv.org/pdf/2203.15234
- 代码/Code: None
**Large-Scale Pre-training for Person Re-identification with Noisy Labels**
- 论文/Paper: http://arxiv.org/pdf/2203.16533
- 代码/Code: https://github.com/dengpanfu/luperson-nl
**Understanding 3D Object Articulation in Internet Videos**
- 论文/Paper: http://arxiv.org/pdf/2203.16531
- 代码/Code: None
**CaDeX: Learning Canonical Deformation Coordinate Space for Dynamic Surface Representation via Neural Homeomorphism**
- 论文/Paper: http://arxiv.org/pdf/2203.16529
- 代码/Code: None
**Unseen Classes at a Later Time? No Problem**
- 论文/Paper: http://arxiv.org/pdf/2203.16517
- 代码/Code: https://github.com/sumitramalagi/unseen-classes-at-a-later-time
**Fast Light-Weight Near-Field Photometric Stereo**
- 论文/Paper: http://arxiv.org/pdf/2203.16515
- 代码/Code: None
**AdaMixer: A Fast-Converging Query-Based Object Detector**
- 论文/Paper: http://arxiv.org/pdf/2203.16507
- 代码/Code: https://github.com/mcg-nju/adamixer
**Fast, Accurate and Memory-Efficient Partial Permutation Synchronization**
- 论文/Paper: http://arxiv.org/pdf/2203.16505
- 代码/Code: None
**Balanced MSE for Imbalanced Visual Regression**
- 论文/Paper: http://arxiv.org/pdf/2203.16427
- 代码/Code: None
**Multi-Robot Active Mapping via Neural Bipartite Graph Matching**
- 论文/Paper: http://arxiv.org/pdf/2203.16319
- 代码/Code: None
**Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data**
- 论文/Paper: http://arxiv.org/pdf/2203.16258
- 代码/Code: https://github.com/valeoai/slidr
**FLOAT: Factorized Learning of Object Attributes for Improved Multi-object Multi-part Scene Parsing**
- 论文/Paper: http://arxiv.org/pdf/2203.16168
- 代码/Code: None
**STRPM: A Spatiotemporal Residual Predictive Model for High-Resolution Video Prediction**
- 论文/Paper: http://arxiv.org/pdf/2203.16084
- 代码/Code: None
**Learning Program Representations for Food Images and Cooking Recipes**
- 论文/Paper: http://arxiv.org/pdf/2203.16071
- 代码/Code: None
**AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval**
- 论文/Paper: http://arxiv.org/pdf/2203.16062
- 代码/Code: None
**Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction**
- 论文/Paper: http://arxiv.org/pdf/2203.16051
- 代码/Code: None
**Iterative Deep Homography Estimation**
- 论文/Paper: http://arxiv.org/pdf/2203.15982
- 代码/Code: https://github.com/imdumpl78/ihn
**PSMNet: Position-aware Stereo Merging Network for Room Layout Estimation**
- 论文/Paper: http://arxiv.org/pdf/2203.15965
- 代码/Code: None
**Disentangled3D: Learning a 3D Generative Model with Disentangled Geometry and Appearance from Monocular Images**
- 论文/Paper: http://arxiv.org/pdf/2203.15926
- 代码/Code: None
**Learning to Detect Mobile Objects from LiDAR Scans Without Labels**
- 论文/Paper: http://arxiv.org/pdf/2203.15882
- 代码/Code: https://github.com/yurongyou/modest
**Proactive Image Manipulation Detection**
- 论文/Paper: http://arxiv.org/pdf/2203.15880
- 代码/Code: https://github.com/vishal3477/proactive_imd
**NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models**
- 论文/Paper: http://arxiv.org/pdf/2203.15859
- 代码/Code: https://github.com/seekingdream/nicgslowdown
**Practical Learned Lossless JPEG Recompression with Multi-Level Cross-Channel Entropy Model in the DCT Domain**
- 论文/Paper: http://arxiv.org/pdf/2203.16357
- 代码/Code: None
**Bringing Old Films Back to Life**
- 论文/Paper: http://arxiv.org/pdf/2203.17276
- 代码/Code: https://github.com/raywzy/Bringing-Old-Films-Back-to-Life
**Generating High Fidelity Data from Low-density Regions using Diffusion Models**
- 论文/Paper: http://arxiv.org/pdf/2203.17260
- 代码/Code: None
**Continuous Scene Representations for Embodied AI**
- 论文/Paper: http://arxiv.org/pdf/2203.17251
- 代码/Code: None
**SimVQA: Exploring Simulated Environments for Visual Question Answering**
- 论文/Paper: http://arxiv.org/pdf/2203.17219
- 代码/Code: None
**Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy**
- 论文/Paper: http://arxiv.org/pdf/2203.17205
- 代码/Code: None
**AEGNN: Asynchronous Event-based Graph Neural Networks**
- 论文/Paper: http://arxiv.org/pdf/2203.17149
- 代码/Code: None
**It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher**
- 论文/Paper: http://arxiv.org/pdf/2203.17008
- 代码/Code: None
**Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and Beyond**
- 论文/Paper: http://arxiv.org/pdf/2203.16931
- 代码/Code: None
**End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps**
- 论文/Paper: http://arxiv.org/pdf/2203.16910
- 代码/Code: None
**Reflection and Rotation Symmetry Detection via Equivariant Learning**
- 论文/Paper: http://arxiv.org/pdf/2203.16787
- 代码/Code: None
**Stochastic Backpropagation: A Memory Efficient Strategy for Training Video Models**
- 论文/Paper: http://arxiv.org/pdf/2203.16755
- 代码/Code: None
**Personalized Image Aesthetics Assessment with Rich Attributes**
- 论文/Paper: http://arxiv.org/pdf/2203.16754
- 代码/Code: None
**Constrained Few-shot Class-incremental Learning**
- 论文/Paper: http://arxiv.org/pdf/2203.16588
- 代码/Code: None
**Counterfactual Cycle-Consistent Learning for Instruction Following and Generation in Vision-Language Navigation**
- 论文/Paper: http://arxiv.org/pdf/2203.16586
- 代码/Code: None
**Exploiting Explainable Metrics for Augmented SGD**
- 论文/Paper: http://arxiv.org/pdf/2203.16723
- 代码/Code: None
**Task Adaptive Parameter Sharing for Multi-Task Learning**
- 论文/Paper: http://arxiv.org/pdf/2203.16708
- 代码/Code: None
**D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions**
- 论文/Paper: http://arxiv.org/pdf/2112.03028
- 代码/Code: None
**On the Importance of Asymmetry for Siamese Representation Learning**
- 论文/Paper: http://arxiv.org/pdf/2204.00613
- 代码/Code: https://github.com/facebookresearch/asym-siam
**DIP: Deep Inverse Patchmatch for High-Resolution Optical Flow**
- 论文/Paper: http://arxiv.org/pdf/2204.00330
- 代码/Code: https://github.com/zihuazheng/dip
**Unimodal-Concentrated Loss: Fully Adaptive Label Distribution Learning for Ordinal Regression**
- 论文/Paper: http://arxiv.org/pdf/2204.00309
- 代码/Code: None
**Perception Prioritized Training of Diffusion Models**
- 论文/Paper: http://arxiv.org/pdf/2204.00227
- 代码/Code: https://github.com/jychoi118/p2-weighting
**Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization**
- 论文/Paper: http://arxiv.org/pdf/2204.00220
- 代码/Code: None
**GraftNet: Towards Domain Generalized Stereo Matching with a Broad-Spectrum and Task-Oriented Feature**
- 论文/Paper: http://arxiv.org/pdf/2204.00179
- 代码/Code: https://github.com/spadeliu/graft-psmnet
**LASER: LAtent SpacE Rendering for 2D Visual Localization**
论文/Paper: http://arxiv.org/pdf/2204.00157
代码/Code: None
**TransGeo: Transformer Is All You Need for Cross-view Image Geo-localization**
- 论文/Paper: http://arxiv.org/pdf/2204.00097
- 代码/Code: https://github.com/jeff-zilence/transgeo2022
**Investigating Top-$k$ White-Box and Transferable Black-box Attack**
- 论文/Paper: http://arxiv.org/pdf/2204.00089
- 代码/Code: None
**Efficient Maximal Coding Rate Reduction by Variational Forms**
- 论文/Paper: http://arxiv.org/pdf/2204.00077
- 代码/Code: None
**Joint Hand Motion and Interaction Hotspots Prediction from Egocentric Videos**
- 论文/Paper: http://arxiv.org/pdf/2204.01696
- 代码/Code: None
**LISA: Learning Implicit Shape and Appearance of Hands**
- 论文/Paper: http://arxiv.org/pdf/2204.01695
- 代码/Code: None
**Exemplar-bsaed Pattern Synthesis with Implicit Periodic Field Network**
- 论文/Paper: http://arxiv.org/pdf/2204.01671
- 代码/Code: None
**Degradation-agnostic Correspondence from Resolution-asymmetric Stereo**
- 论文/Paper: http://arxiv.org/pdf/2204.01429
- 代码/Code: None
**RayMVSNet: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo**
- 论文/Paper: http://arxiv.org/pdf/2204.01320
- 代码/Code: None
**Exploiting Temporal Relations on Radar Perception for Autonomous Driving**
- 论文/Paper: http://arxiv.org/pdf/2204.01184
- 代码/Code: None
**BNV-Fusion: Dense 3D Reconstruction using Bi-level Neural Volume Fusion**
- 论文/Paper: http://arxiv.org/pdf/2204.01139
- 代码/Code: None
**Neural Global Shutter: Learn to Restore Video from a Rolling Shutter Camera with Global Reset Feature**
- 论文/Paper: http://arxiv.org/pdf/2204.00974
- 代码/Code: https://github.com/lightchaserx/neural-global-shutter
**DST: Dynamic Substitute Training for Data-free Black-box Attack**
- 论文/Paper: http://arxiv.org/pdf/2204.00972
- 代码/Code: None
**Progressive Minimal Path Method with Embedded CNN**
- 论文/Paper: http://arxiv.org/pdf/2204.00944
- 代码/Code: None
**Online Convolutional Re-parameterization**
- 论文/Paper: http://arxiv.org/pdf/2204.00826
- 代码/Code: None
**SIMBAR: Single Image-Based Scene Relighting For Effective Data Augmentation For Automated Driving Vision Tasks**
- 论文/Paper: http://arxiv.org/pdf/2204.00644
- 代码/Code: None
**Rethinking Visual Geo-localization for Large-Scale Applications**
- 论文/Paper: http://arxiv.org/pdf/2204.02287
- 代码/Code: None
**IRON: Inverse Rendering by Optimizing Neural SDFs and Materials from Photometric Images**
- 论文/Paper: http://arxiv.org/pdf/2204.02232
- 代码/Code: None
**SNUG: Self-Supervised Neural Dynamic Garments**
- 论文/Paper: http://arxiv.org/pdf/2204.02219
- 代码/Code: None
**Leveraging Equivariant Features for Absolute Pose Regression**
- 论文/Paper: http://arxiv.org/pdf/2204.02163
- 代码/Code: None
**MonoTrack: Shuttle trajectory reconstruction from monocular badminton video**
- 论文/Paper: http://arxiv.org/pdf/2204.01899
- 代码/Code: None
**Revisiting Near/Remote Sensing with Geospatial Attention**
- 论文/Paper: http://arxiv.org/pdf/2204.01807
- 代码/Code: None
**Temporal Alignment Networks for Long-term Video**
- 论文/Paper: http://arxiv.org/pdf/2204.02968
- 代码/Code: None
**"The Pedestrian next to the Lamppost" Adaptive Object Graphs for Better Instantaneous Mapping**
- 论文/Paper: http://arxiv.org/pdf/2204.02944
- 代码/Code: None
**Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network**
- 论文/Paper: http://arxiv.org/pdf/2204.02738
- 代码/Code: None
**Aesthetic Text Logo Synthesis via Content-aware Layout Inferring**
- 论文/Paper: http://arxiv.org/pdf/2204.02701
- 代码/Code: https://github.com/yizhiwang96/TextLogoLayout
**Learning to Anticipate Future with Dynamic Context Removal**
- 论文/Paper: http://arxiv.org/pdf/2204.02587
- 代码/Code: https://github.com/AllenXuuu/DCR.
**SqueezeNeRF: Further factorized FastNeRF for memory-efficient inference**
- 论文/Paper: http://arxiv.org/pdf/2204.02585
- 代码/Code: None
**Gait Recognition in the Wild with Dense 3D Representations and A Benchmark**
- 论文/Paper: http://arxiv.org/pdf/2204.02569
- 代码/Code: None
**MixFormer: Mixing Features across Windows and Dimensions**
- 论文/Paper: http://arxiv.org/pdf/2204.02557
- 代码/Code: https://github.com/PaddlePaddle/PaddleClas
**RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection**
- 论文/Paper: http://arxiv.org/pdf/2204.02553
- 代码/Code: None
**Adversarial Robustness through the Lens of Convolutional Filters**
- 论文/Paper: http://arxiv.org/pdf/2204.02481
- 代码/Code: website:
https://github.com/paulgavrikov/cvpr22w_RobustnessThroughTheLens
**Learning Optimal K-space Acquisition and Reconstruction using Physics-Informed Neural Networks**
- 论文/Paper: http://arxiv.org/pdf/2204.02480
- 代码/Code: None
**Total Variation Optimization Layers for Computer Vision**
- 论文/Paper: http://arxiv.org/pdf/2204.03643
- 代码/Code: https://github.com/raymondyeh07/tv_layers_for_cv
**Pre-train, Self-train, Distill: A simple recipe for Supersizing 3D Reconstruction**
- 论文/Paper: http://arxiv.org/pdf/2204.03642
- 代码/Code: None
**Class-Incremental Learning with Strong Pre-trained Models**
- 论文/Paper: http://arxiv.org/pdf/2204.03634
- 代码/Code: None
**AutoRF: Learning 3D Object Radiance Fields from Single View Observations**
- 论文/Paper: http://arxiv.org/pdf/2204.03593
- 代码/Code: None
**Deep Visual Geo-localization Benchmark**
- 论文/Paper: http://arxiv.org/pdf/2204.03444
- 代码/Code: None
**Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality**
- 论文/Paper: http://arxiv.org/pdf/2204.03162
- 代码/Code: None
**UIGR: Unified Interactive Garment Retrieval**
- 论文/Paper: http://arxiv.org/pdf/2204.03111
- 代码/Code: https://github.com/brandonhanx/compfashion
**AUV-Net: Learning Aligned UV Maps for Texture Transfer and Synthesis**
- 论文/Paper: http://arxiv.org/pdf/2204.03105
- 代码/Code: None
**Hierarchical Self-supervised Representation Learning for Movie Understanding**
- 论文/Paper: http://arxiv.org/pdf/2204.03101
- 代码/Code: None
**Learning from Untrimmed Videos: Self-Supervised Video Representation Learning with Hierarchical Consistency**
- 论文/Paper: http://arxiv.org/pdf/2204.03017
- 代码/Code: None
**Multi-Scale Memory-Based Video Deblurring**
- 论文/Paper: http://arxiv.org/pdf/2204.02977
- 代码/Code: https://github.com/jibo27/memdeblur
**Gravitationally Lensed Black Hole Emission Tomography**
- 论文/Paper: http://arxiv.org/abs/2204.03715
- 代码/Code: None
**General Incremental Learning with Domain-aware Categorical Representations**
- 论文/Paper: http://arxiv.org/abs/2204.04078
- 代码/Code: None
**Identifying Ambiguous Similarity Conditions via Semantic Matching**
- 论文/Paper: http://arxiv.org/abs/2204.04053
- 代码/Code: None
**Does Robustness on ImageNet Transfer to Downstream Tasks?**
- 论文/Paper: http://arxiv.org/abs/2204.03934
- 代码/Code: None
**Deep Hyperspectral-Depth Reconstruction Using Single Color-Dot Projection**
- 论文/Paper: http://arxiv.org/abs/2204.03929
- 代码/Code: None
**CD$^2$-pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learning**
- 论文/Paper: http://arxiv.org/abs/2204.03880
- 代码/Code: None
**Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation**
- 论文/Paper: http://arxiv.org/abs/2204.03838
- 代码/Code: https://github.com/xiaoachen98/DALN
**TorMentor: Deterministic dynamic-path, data augmentations with fractals**
- 论文/Paper: http://arxiv.org/abs/2204.03776
- 代码/Code: None
**TemporalUV: Capturing Loose Clothing with Temporally Coherent UV Coordinates**
- 论文/Paper: http://arxiv.org/abs/2204.03671
- 代码/Code: None
**Single-Photon Structured Light**
- 论文/Paper: http://arxiv.org/pdf/2204.05300
- 代码/Code: None
**Pyramid Grafting Network for One-Stage High Resolution Saliency Detection**
- 论文/Paper: http://arxiv.org/pdf/2204.05041
- 代码/Code: None
**Structure-Aware Motion Transfer with Deformable Anchor Model**
- 论文/Paper: http://arxiv.org/pdf/2204.05018
- 代码/Code: None
**Reasoning with Multi-Structure Commonsense Knowledge in Visual Dialog**
- 论文/Paper: http://arxiv.org/pdf/2204.04680
- 代码/Code: None
**NAN: Noise-Aware NeRFs for Burst-Denoising**
- 论文/Paper: http://arxiv.org/pdf/2204.04668
- 代码/Code: None
**Learning Pixel-Level Distinctions for Video Highlight Detection**
- 论文/Paper: http://arxiv.org/pdf/2204.04615
- 代码/Code: None
**Explaining Deep Convolutional Neural Networks via Latent Visual-Semantic Filter Attention**
- 论文/Paper: http://arxiv.org/pdf/2204.04601
- 代码/Code: None
**DeepLIIF: An Online Platform for Quantification of Clinical Pathology Slides**
- 论文/Paper: http://arxiv.org/pdf/2204.04494
- 代码/Code: None
**ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-wise Semantic Alignment and Generation**
- 论文/Paper: http://arxiv.org/pdf/2204.04428
- 代码/Code: None
**FedCorr: Multi-Stage Federated Learning for Label Noise Correction**
- 论文/Paper: http://arxiv.org/pdf/2204.04677
- 代码/Code: https://github.com/Xu-Jingyi/FedCorr
**Adaptive Differential Filters for Fast and Communication-Efficient Federated Learning**
- 论文/Paper: http://arxiv.org/pdf/2204.04424
- 代码/Code: None
**The Two Dimensions of Worst-case Training and the Integrated Effect for Out-of-domain Generalization**
- 论文/Paper: http://arxiv.org/pdf/2204.04384
- 代码/Code: None
**Continual Predictive Learning from Videos**
- 论文/Paper: http://arxiv.org/pdf/2204.05624
- 代码/Code: https://github.com/jc043/CPL
**Few-shot Learning with Noisy Labels**
- 论文/Paper: http://arxiv.org/pdf/2204.05494
- 代码/Code: None
**Out-Of-Distribution Detection In Unsupervised Continual Learning**
- 论文/Paper: http://arxiv.org/pdf/2204.05462
- 代码/Code: None
**Generalizing Adversarial Explanations with Grad-CAM**
- 论文/Paper: http://arxiv.org/pdf/2204.05427
- 代码/Code: None
**Recognition of Freely Selected Keypoints on Human Limbs**
- 论文/Paper: http://arxiv.org/pdf/2204.06326
- 代码/Code: None
**3D-SPS: Single-Stage 3D Visual Grounding via Referred Point Progressive Selection**
- 论文/Paper: http://arxiv.org/pdf/2204.06272
- 代码/Code: None
**Defensive Patches for Robust Recognition in the Physical World**
- 论文/Paper: http://arxiv.org/pdf/2204.06213
- 代码/Code: https://github.com/nlsde-safety-team/DefensivePatch
**COAP: Compositional Articulated Occupancy of People**
- 论文/Paper: http://arxiv.org/pdf/2204.06184
- 代码/Code: None
**What's in your hands? 3D Reconstruction of Generic Objects in Hands**
- 论文/Paper: http://arxiv.org/pdf/2204.07153
- 代码/Code: None
**GIFS: Neural Implicit Function for General Shape Representation**
- 论文/Paper: http://arxiv.org/pdf/2204.07126
- 代码/Code: None
**The multi-modal universe of fast-fashion: the Visuelle 2.0 benchmark**
- 论文/Paper: http://arxiv.org/pdf/2204.06972
- 代码/Code: None
**Semi-Supervised Training to Improve Player and Ball Detection in Soccer**
- 论文/Paper: http://arxiv.org/pdf/2204.06859
- 代码/Code: https://github.com/rvandeghen/SST
**Pyramidal Attention for Saliency Detection**
- 论文/Paper: http://arxiv.org/pdf/2204.06788
- 代码/Code: https://github.com/tanveer-hussain/EfficientSOD2
**OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR Data**
- 论文/Paper: http://arxiv.org/pdf/2204.06577
- 代码/Code: https://github.com/dschinagl/occam
**Patch-wise Contrastive Style Learning for Instagram Filter Removal**
- 论文/Paper: http://arxiv.org/pdf/2204.07486
- 代码/Code: None
**Guiding Attention using Partial-Order Relationships for Image Captioning**
- 论文/Paper: http://arxiv.org/pdf/2204.07476
- 代码/Code: None
**MetaSets: Meta-Learning on Point Sets for Generalizable Representations**
- 论文/Paper: http://arxiv.org/pdf/2204.07311
- 代码/Code: None
**Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference**
- 论文/Paper: http://arxiv.org/pdf/2204.07305
- 代码/Code: None
**Imposing Consistency for Optical Flow Estimation**
- 论文/Paper: http://arxiv.org/pdf/2204.07262
- 代码/Code: None
**Measuring Compositional Consistency for Video Question Answering**
- 论文/Paper: http://arxiv.org/pdf/2204.07190
- 代码/Code: None
**Deep Equilibrium Optical Flow Estimation**
- 论文/Paper: http://arxiv.org/pdf/2204.08442
- 代码/Code: None
**Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation**
- 论文/Paper: http://arxiv.org/pdf/2204.08271
- 代码/Code: None
**OMG: Observe Multiple Granularities for Natural Language-Based Vehicle Retrieval**
- 论文/Paper: http://arxiv.org/pdf/2204.08209
- 代码/Code: https://github.com/dyhBUPT/OMG.
**Towards a Deeper Understanding of Skeleton-based Gait Recognition**
- 论文/Paper: http://arxiv.org/pdf/2204.07855
- 代码/Code: None
**Interactiveness Field in Human-Object Interactions**
- 论文/Paper: http://arxiv.org/pdf/2204.07718
- 代码/Code: https://github.com/Foruck/Interactiveness-Field.
**It is Okay to Not Be Okay: Overcoming Emotional Bias in Affective Image Captioning by Contrastive Data Collection**
- 论文/Paper: http://arxiv.org/pdf/2204.07660
- 代码/Code: None
**Deep Unlearning via Randomized Conditionally Independent Hessians**
- 论文/Paper: http://arxiv.org/pdf/2204.07655
- 代码/Code: https://github.com/vsingh-group/LCODEC-deep-unlearning
**Learning to Imagine: Diversify Memory for Incremental Learning using Unlabeled Data**
- 论文/Paper: http://arxiv.org/pdf/2204.08932
- 代码/Code: https://github.com/TOM-tym/Learn-to-Imagine
**An Efficient Domain-Incremental Learning Approach to Drive in All Weather Conditions**
- 论文/Paper: http://arxiv.org/pdf/2204.08817
- 代码/Code: None
**Incorporating Semi-Supervised and Positive-Unlabeled Learning for Boosting Full Reference Image Quality Assessment**
- 论文/Paper: http://arxiv.org/pdf/2204.08763
- 代码/Code: https://github.com/happycaoyue/JSPL
**Self-Supervised Equivariant Learning for Oriented Keypoint Detection**
- 论文/Paper: http://arxiv.org/pdf/2204.08613
- 代码/Code: None
**GazeOnce: Real-Time Multi-Person Gaze Estimation**
- 论文/Paper: http://arxiv.org/pdf/2204.09480
- 代码/Code: None
**Epistemic Uncertainty-Weighted Loss for Visual Bias Mitigation**
- 论文/Paper: http://arxiv.org/pdf/2204.09389
- 代码/Code: None
**Reinforced Structured State-Evolution for Vision-Language Navigation**
- 论文/Paper: http://arxiv.org/pdf/2204.09280
- 代码/Code: None
**SpiderNet: Hybrid Differentiable-Evolutionary Architecture Search via Train-Free Metrics**
- 论文/Paper: http://arxiv.org/pdf/2204.09320
- 代码/Code: None
**A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement**
- 论文/Paper: http://arxiv.org/pdf/2204.09308
- 代码/Code: None
**Does Interference Exist When Training a Once-For-All Network?**
- 论文/Paper: http://arxiv.org/pdf/2204.09210
- 代码/Code: https://github.com/Jordan-HS/RSS-Interference-CVPRW2022.
**Importance is in your attention: agent importance prediction for autonomous driving**
- 论文/Paper: http://arxiv.org/pdf/2204.09121
- 代码/Code: None
**SelfD: Self-Learning Large-Scale Driving Policies From the Web**
- 论文/Paper: http://arxiv.org/pdf/2204.10320
- 代码/Code: None
**SmartPortraits: Depth Powered Handheld Smartphone Dataset of Human Portraits for State Estimation, Reconstruction and Synthesis**
- 论文/Paper: http://arxiv.org/pdf/2204.10211
- 代码/Code: None
**A case for using rotation invariant features in state of the art feature matchers**
- 论文/Paper: http://arxiv.org/pdf/2204.10144
- 代码/Code: None
**Toward Fast, Flexible, and Robust Low-Light Image Enhancement**
- 论文/Paper: http://arxiv.org/pdf/2204.10137
- 代码/Code: https://github.com/vis-opt-group/SCI
**OSSO: Obtaining Skeletal Shape from Outside**
- 论文/Paper: http://arxiv.org/pdf/2204.10129
- 代码/Code: None
**Is Neuron Coverage Needed to Make Person Detection More Robust?**
- 论文/Paper: http://arxiv.org/pdf/2204.10027
- 代码/Code: None
**Progressive Training of A Two-Stage Framework for Video Restoration**
- 论文/Paper: http://arxiv.org/pdf/2204.09924
- 代码/Code: None
**CNLL: A Semi-supervised Approach For Continual Noisy Label Learning**
- 论文/Paper: http://arxiv.org/pdf/2204.09881
- 代码/Code: None
**Persistent-Transient Duality in Human Behavior Modeling**
- 论文/Paper: http://arxiv.org/pdf/2204.09875
- 代码/Code: None
**Self-Supervised Learning to Guide Scientifically Relevant Categorization of Martian Terrain Images**
- 论文/Paper: http://arxiv.org/pdf/2204.09854
- 代码/Code: https://github.com/TejasPanambur/mastcam
**Exposure Correction Model to Enhance Image Quality**
- 论文/Paper: http://arxiv.org/pdf/2204.10648
- 代码/Code: https://github.com/yamand16/exposurecorrection
**Spacing Loss for Discovering Novel Categories**
- 论文/Paper: http://arxiv.org/pdf/2204.10595
- 代码/Code: https://github.com/josephkj/awesome-novel-class-discovery
**DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis**
- 论文/Paper: http://arxiv.org/pdf/2204.10437
- 代码/Code: https://github.com/jlianglab/dira
**The 6th AI City Challenge**
- 论文/Paper: http://arxiv.org/pdf/2204.10380
- 代码/Code: None
**Contrastive Test-Time Adaptation**
- 论文/Paper: http://arxiv.org/pdf/2204.10377
- 代码/Code: None
**Proto2Proto: Can you recognize the car, the way I do?**
- 论文/Paper: http://arxiv.org/pdf/2204.11830
- 代码/Code: None
**Multi-Layer Modeling of Dense Vegetation from Aerial LiDAR Scans**
- 论文/Paper: http://arxiv.org/pdf/2204.11620
- 代码/Code: https://github.com/ekalinicheva/multi_layer_vegetation.
**Surpassing the Human Accuracy: Detecting Gallbladder Cancer from USG Images with Curriculum Learning**
- 论文/Paper: http://arxiv.org/pdf/2204.11433
- 代码/Code: None
**Can domain adaptation make object recognition work for everyone?**
- 论文/Paper: http://arxiv.org/pdf/2204.11122
- 代码/Code: None
**Investigating Neural Architectures by Synthetic Dataset Design**
- 论文/Paper: http://arxiv.org/pdf/2204.11045
- 代码/Code: None
**Revealing Occlusions with 4D Neural Fields**
- 论文/Paper: http://arxiv.org/pdf/2204.10916
- 代码/Code: None
**Identity Preserving Loss for Learned Image Compression**
- 论文/Paper: http://arxiv.org/pdf/2204.10869
- 代码/Code: None
**Towards Data-Free Model Stealing in a Hard Label Setting**
- 论文/Paper: http://arxiv.org/pdf/2204.11022
- 代码/Code: None
**Context-Aware Sequence Alignment using 4D Skeletal Augmentation**
- 论文/Paper: http://arxiv.org/abs/2204.12223
- 代码/Code: None
**Few-Shot Head Swapping in the Wild**
- 论文/Paper: http://arxiv.org/pdf/2204.13100
- 代码/Code: None
**Attention Consistency on Visual Corruptions for Single-Source Domain Generalization**
- 论文/Paper: http://arxiv.org/pdf/2204.13091
- 代码/Code: None
**Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolution**
- 论文/Paper: http://arxiv.org/pdf/2204.13062
- 代码/Code: None
**A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching**
- 论文/Paper: http://arxiv.org/pdf/2204.12805
- 代码/Code: http://github.com/paul0noah/sm-comb
**Leveraging Unlabeled Data for Sketch-based Understanding**
- 论文/Paper: http://arxiv.org/pdf/2204.12522
- 代码/Code: None
**Towards assessing agricultural land suitability with causal machine learning**
- 论文/Paper: http://arxiv.org/pdf/2204.12956
- 代码/Code: None
**Conformer and Blind Noisy Students for Improved Image Quality Assessment**
- 论文/Paper: http://arxiv.org/pdf/2204.12819
- 代码/Code: None
**NeurMiPs: Neural Mixture of Planar Experts for View Synthesis**
- 论文/Paper: http://arxiv.org/pdf/2204.13696
- 代码/Code: None
**Learning from Pixel-Level Noisy Label : A New Perspective for Light Field Saliency Detection**
- 论文/Paper: http://arxiv.org/pdf/2204.13456
- 代码/Code: https://github.com/OLobbCode/NoiseLF.
**A Challenging Benchmark of Anime Style Recognition**
- 论文/Paper: http://arxiv.org/pdf/2204.14034
- 代码/Code: https://github.com/nkjcqvcpi/asr
**AdaInt: Learning Adaptive Intervals for 3D Lookup Tables on Real-time Image Enhancement**
- 论文/Paper: http://arxiv.org/pdf/2204.13983
- 代码/Code: https://github.com/ImCharlesY/AdaInt.
**SCS-Co: Self-Consistent Style Contrastive Learning for Image Harmonization**
- 论文/Paper: http://arxiv.org/pdf/2204.13962
- 代码/Code: https://github.com/ychang686/scs-co
**Learning Adaptive Warping for Real-World Rolling Shutter Correction**
- 论文/Paper: http://arxiv.org/pdf/2204.13886
- 代码/Code: https://github.com/ljzycmd/bsrsc
**Stability-driven Contact Reconstruction From Monocular Color Images**
- 论文/Paper: http://arxiv.org/pdf/2205.00848
- 代码/Code: None
**GPUNet: Searching the Deployable Convolution Neural Networks for GPUs**
- 论文/Paper: http://arxiv.org/pdf/2205.00841
- 代码/Code: None
**MUTR3D: A Multi-camera Tracking Framework via 3D-to-2D Queries**
- 论文/Paper: http://arxiv.org/pdf/2205.00613
- 代码/Code: https://github.com/a1600012888/MUTR3D
**LayoutBERT: Masked Language Layout Model for Object Insertion**
- 论文/Paper: http://arxiv.org/pdf/2205.00347
- 代码/Code: None
**Improving Visual Grounding with Visual-Linguistic Verification and Iterative Reasoning**
- 论文/Paper: http://arxiv.org/pdf/2205.00272
- 代码/Code: https://github.com/yangli18/vltvg
**Look Closer to Supervise Better: One-Shot Font Generation via Component-Based Discriminator**
- 论文/Paper: http://arxiv.org/pdf/2205.00146
- 代码/Code: None
**Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification**
- 论文/Paper: http://arxiv.org/pdf/2205.02151
- 代码/Code: None
**Self-Taught Metric Learning without Labels**
- 论文/Paper: http://arxiv.org/pdf/2205.01903
- 代码/Code: None
**Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction**
- 论文/Paper: http://arxiv.org/pdf/2205.02834
- 代码/Code: None
**Holistic Approach to Measure Sample-level Adversarial Vulnerability and its Utility in Building Trustworthy Systems**
- 论文/Paper: http://arxiv.org/pdf/2205.02604
- 代码/Code: None
**P3IV: Probabilistic Procedure Planning from Instructional Videos with Weak Supervision**
- 论文/Paper: http://arxiv.org/pdf/2205.02300
- 代码/Code: None
**Prompt Distribution Learning**
- 论文/Paper: http://arxiv.org/pdf/2205.03340
- 代码/Code: None
[返回目录/back](#Contents)
参考：
[如何评价 CVPR2022 的论文接收结果？](https://www.zhihu.com/question/519162597/)
================================================
FILE: CVPR2023.md
================================================
# CVPR2023-Papers-with-Code-Demo
:star_and_crescent:**CVPR2022论文下载：添加微信: nvshenj125, 备注 CVPR 2022 即可获取全部论文pdf**
:star_and_crescent:**福利 注册即可领取 200 块计算资源 : https://www.bkunyun.com/wap/console?source=aistudy**
[使用说明](https://mp.weixin.qq.com/s?__biz=MzU4NTY4Mzg1Mw==&mid=2247521550&idx=1&sn=db4c7f609bd61ae7734b9e012a763f98&chksm=fd8413eccaf39afa686f69f2df2463f4a6a8233ba3b3edf698513bbee556c9f6c21e835b8eb8&token=705359263&lang=zh_CN#rd)
欢迎关注公众号：AI算法与图像处理
:star2: [CVPR 2023](https://cvpr2023.thecvf.com/) 持续更新最新论文/paper和相应的开源代码/code！
B站demo：https://space.bilibili.com/288489574
> :hand: 注：欢迎各位大佬提交issue，分享CVPR 2022论文/paper和开源项目！共同完善这个项目
>
> 往年顶会论文汇总：
>
> [CVPR2021](https://github.com/DWCTOD/CVPR2023-Papers-with-Code-Demo/blob/main/CVPR2021.md)
>
> [CVPR2022](https://github.com/DWCTOD/CVPR2023-Papers-with-Code-Demo/blob/main/CVPR2022.md)
>
> [ICCV2021](https://github.com/DWCTOD/ICCV2021-Papers-with-Code-Demo)
>
> [ECCV2022](https://github.com/DWCTOD/ECCV2022-Papers-with-Code-Demo)
### **:fireworks: 欢迎进群** | Welcome
CVPR 2023 论文/paper交流群已成立！已经收录的同学，可以添加微信：**nvshenj125**，请备注：**CVPR+姓名+学校/公司名称**！一定要根据格式申请，可以拉你进群。
<a name="Contents"></a>
### :hammer: **目录 |Table of Contents（点击直接跳转）**
<details open>
<summary> 目录（右侧点击可折叠）</summary>
- [Backbone](#Backbone)
- [数据集/Dataset](#Dataset)
- [Diffusion Model](#DiffusionModel)
- [NAS](#NAS)
- [NeRF](#NeRF)
- [Knowledge Distillation](#KnowledgeDistillation)
- [多模态 / Multimodal ](#Multimodal )
- [对比学习/Contrastive Learning](#ContrastiveLearning)
- [图神经网络 / Graph Neural Networks](#GNN)
- [胶囊网络 / Capsule Network](#CapsuleNetwork)
- [图像分类 / Image Classification](#ImageClassification)
- [目标检测/Object Detection](#ObjectDetection)
- [目标跟踪/Object Tracking](#ObjectTracking)
- [轨迹预测/Trajectory Prediction](#TrajectoryPrediction)
- [语义分割/Segmentation](#Segmentation)
- [弱监督语义分割/Weakly Supervised Semantic Segmentation](#WSSS)
- [医学图像分割](#MedicalImageSegmentation)
- [视频目标分割/Video Object Segmentation](#VideoObjectSegmentation)
- [交互式视频目标分割/Interactive Video Object Segmentation](#InteractiveVideoObjectSegmentation)
- [Visual Transformer](#VisualTransformer)
- [深度估计/Depth Estimation](#DepthEstimation)
- [人脸识别/Face Recognition](#FaceRecognition)
- [人脸检测/Face Detection](#FaceDetection)
- [人脸活体检测/Face Anti-Spoofing](#FaceAnti-Spoofing)
- [人脸年龄估计/Age Estimation](#AgeEstimation)
- [人脸表情识别/Facial Expression Recognition](#FacialExpressionRecognition)
- [人脸属性识别/Facial Attribute Recognition](#FacialAttributeRecognition)
- [人脸编辑/Facial Editing](#FacialEditing)
- [人脸重建/Face Reconstruction](#FaceReconstruction)
- [Talking Face](#TalkingFace)
- [换脸/Face Swap](#FaceSwap)
- [人体姿态估计/Human Pose Estimation](#HumanPoseEstimation)
- [6D位姿估计 /6D Pose Estimation](#6DPoseEstimation)
- [手势姿态估计（重建）/Hand Pose Estimation( Hand Mesh Recovery)](#HandPoseEstimation)
- [视频动作检测/Video Action Detection](#VideoActionDetection)
- [手语翻译/Sign Language Translation](#SignLanguageTranslation)
- [3D人体重建](#3D人体重建)
- [行人重识别/Person Re-identification](#PersonRe-identification)
- [行人搜索/Person Search](#PersonSearch)
- [人群计数 / Crowd Counting](#CrowdCounting)
- [GAN](#GAN)
- [彩妆迁移 / Color-Pattern Makeup Transfer](#CPM)
- [字体生成 / Font Generation](#FontGeneration)
- [场景文本检测、识别/Scene Text Detection/Recognition](#OCR)
- [图像、视频检索 / Image Retrieval/Video retrieval](#Retrieval)
- [Image Animation](#ImageAnimation)
- [抠图/Image Matting](#ImageMatting)
- [超分辨率/Super Resolution](#SuperResolution)
- [图像复原/Image Restoration](#ImageRestoration)
- [图像补全/Image Inpainting](#ImageInpainting)
- [图像去噪/Image Denoising](#ImageDenoising)
- [图像编辑/Image Editing](#ImageEditing)
- [图像拼接/Image stitching](#Imagestitching)
- [图像匹配/Image Matching](#ImageMatching)
- [图像融合/Image Blending](#ImageBlending)
- [图像去雾/Image Dehazing](#ImageDehazing)
- [图像压缩/Image Compression](#ImageCompression)
- [反光去除/Reflection Removal](#ReflectionRemoval)
- [车道线检测/Lane Detection](#LaneDetection)
- [自动驾驶 / Autonomous Driving](#AutonomousDriving)
- [流体重建/Fluid Reconstruction](#FluidReconstruction)
- [场景重建 / Scene Reconstruction](#SceneReconstruction)
- [3D Reconstruction](#3DReconstruction)
- [视频插帧/Frame Interpolation](#FrameInterpolation)
- [视频超分 / Video Super-Resolution](#VideoSuper-Resolution)
- [3D点云/3D point cloud](#3DPointCloud)
- [标签噪声 / Label-Noise](#Label-Noise)
- [对抗样本/Adversarial Examples](#AdversarialExamples)
- [Anomaly Detection](#AnomalyDetection)
- [其他/Other](#Other)
</details>
<a name="Backbone"></a>
## Backbone
**Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks**
- 论文/Paper:https://arxiv.org/abs/2303.03667
- 代码/Code:https://github.com/JierunChen/FasterNet
[返回目录/back](#Contents)
<a name="Dataset"></a>
## 数据集/Dataset
**Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo**
- 论文/Paper: http://arxiv.org/pdf/2303.01943
- 代码/Code: None
**Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial Scenes**
- 论文/Paper: http://arxiv.org/pdf/2303.02760
- 代码/Code: None
[返回目录/back](#Contents)
<a name="DiffusionModel"></a>
# Diffusion Model
**Unifying Layout Generation with a Decoupled Diffusion Model**
- 论文/Paper: http://arxiv.org/pdf/2303.05049
- 代码/Code: None
**DR2: Diffusion-based Robust Degradation Remover for Blind Face Restoration**
- 论文/Paper: http://arxiv.org/pdf/2303.06885
- 代码/Code: None
**LayoutDM: Discrete Diffusion Model for Controllable Layout Generation**
- 论文/Paper: http://arxiv.org/pdf/2303.08137
- 代码/Code: https://github.com/CyberAgentAILab/layout-dm
**Controllable Mesh Generation Through Sparse Latent Point Diffusion Models**
- 论文/Paper: http://arxiv.org/pdf/2303.07938
- 代码/Code: None
**Decomposed Diffusion Models for High-Quality Video Generation**
- 论文/Paper: http://arxiv.org/pdf/2303.08320
- 代码/Code: None
**Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation**
- 论文/Paper: http://arxiv.org/pdf/2303.09119
- 代码/Code: https://github.com/advocate99/diffgesture
**Leapfrog Diffusion Model for Stochastic Trajectory Prediction**
- 论文/Paper: http://arxiv.org/pdf/2303.10895
- 代码/Code: https://github.com/mediabrain-sjtu/led
**Conditional Image-to-Video Generation with Latent Flow Di
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About this extraction
This page contains the full source code of the DWCTOD/CVPR2021-Papers-with-Code-Demo GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 5 files (298.1 KB), approximately 93.1k tokens. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.
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